Year |
Citation |
Score |
2020 |
Li Z, Xu Z, Zhang R, Zou H, Gao F. Design of modified 2-degree-of-freedom proportional–integral–derivative controller for unstable processes: Measurement & Control. 2029402094495. DOI: 10.1177/0020294020944954 |
0.394 |
|
2020 |
Tang X, Zou C, Wik T, Yao K, Xia Y, Wang Y, Yang D, Gao F. Run-to-Run Control for Active Balancing of Lithium Iron Phosphate Battery Packs Ieee Transactions On Power Electronics. 35: 1499-1512. DOI: 10.1109/Tpel.2019.2919709 |
0.491 |
|
2020 |
Jiang Q, Yan S, Yan X, Yi H, Gao F. Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring Ieee Transactions On Industrial Informatics. 16: 2839-2848. DOI: 10.1109/Tii.2019.2952931 |
0.355 |
|
2020 |
Jiang Q, Yan X, Yi H, Gao F. Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares Ieee Transactions On Industrial Electronics. 67: 4098-4107. DOI: 10.1109/Tie.2019.2922941 |
0.336 |
|
2020 |
Li D, He S, Xi Y, Liu T, Gao F, Wang Y, Lu J. Synthesis of ILC–MPC Controller With Data-Driven Approach for Constrained Batch Processes Ieee Transactions On Industrial Electronics. 67: 3116-3125. DOI: 10.1109/Tie.2019.2910034 |
0.442 |
|
2020 |
Wang L, li b, Zhang R, Gao F. Design of a Switching Control Strategy for Time-Varying Delay Batch Processes Using Fault Probability-Based Average Dwell Time Method Industrial & Engineering Chemistry Research. 59: 5087-5102. DOI: 10.1021/Acs.Iecr.9B06663 |
0.388 |
|
2020 |
Zou X, Zhao C, Gao F. Linearity Decomposition-Based Cointegration Analysis for Nonlinear and Nonstationary Process Performance Assessment Industrial & Engineering Chemistry Research. 59: 3052-3063. DOI: 10.1021/Acs.Iecr.9B05600 |
0.351 |
|
2020 |
yang f, li x, bai j, Zhang R, Gao F. Nonlinear process quality prediction using wavelet denoising OSC-SVM-PLS Industrial & Engineering Chemistry Research. 59: 6021-6032. DOI: 10.1021/Acs.Iecr.0C00224 |
0.322 |
|
2020 |
Qu H, Li D, Zhang R, Yang S, Gao F. A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production Neurocomputing. 397: 70-93. DOI: 10.1016/J.Neucom.2020.02.021 |
0.399 |
|
2020 |
Zhu J, Yao Y, Gao F. Multiphase two-dimensional time-slice dynamic system for batch process monitoring Journal of Process Control. 85: 184-198. DOI: 10.1016/J.Jprocont.2019.12.004 |
0.343 |
|
2019 |
Tang X, Yao K, Liu B, Gao F. Connection Failure Detection for Lithium-ion Batteries Based on DBSCAN-Projection Method Destech Transactions On Environment, Energy and Earth Science. DOI: 10.12783/Dteees/Iceee2019/31808 |
0.457 |
|
2019 |
Tang X, Gao F, Yao K, Wang Y. Battery State of Charge Estimation Based on a Pure Hardware Implementable Method Destech Transactions On Environment, Energy and Earth Science. DOI: 10.12783/Dteees/Iceee2018/27801 |
0.473 |
|
2019 |
Wang L, Yu J, Zhang R, Li P, Gao F. Iterative Learning Control for Multiphase Batch Processes With Asynchronous Switching Ieee Transactions On Systems, Man, and Cybernetics. 1-14. DOI: 10.1109/Tsmc.2019.2916006 |
0.335 |
|
2019 |
Lu J, Cao Z, Gao F. Multipoint Iterative Learning Model Predictive Control Ieee Transactions On Industrial Electronics. 66: 6230-6240. DOI: 10.1109/Tie.2018.2873133 |
0.426 |
|
2019 |
Jiang Q, Gao F, Yan X, Yi H. Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application Ieee Transactions On Industrial Electronics. 66: 3825-3834. DOI: 10.1109/Tie.2018.2860571 |
0.368 |
|
2019 |
Zhu J, Wang Y, Zhou D, Gao F. Batch Process Modeling and Monitoring With Local Outlier Factor Ieee Transactions On Control Systems and Technology. 27: 1552-1565. DOI: 10.1109/Tcst.2018.2815545 |
0.408 |
|
2019 |
Jiang Q, Gao F, Yi H, Yan X. Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA Ieee Transactions On Control Systems and Technology. 27: 1368-1375. DOI: 10.1109/Tcst.2018.2803071 |
0.357 |
|
2019 |
Zhang S, Zhao C, Gao F. Incipient Fault Detection for Multiphase Batch Processes With Limited Batches Ieee Transactions On Control Systems and Technology. 27: 103-117. DOI: 10.1109/Tcst.2017.2755580 |
0.318 |
|
2019 |
Lu J, Cao Z, Zhao C, Gao F. 110th Anniversary: An Overview on Learning-Based Model Predictive Control for Batch Processes Industrial & Engineering Chemistry Research. 58: 17164-17173. DOI: 10.1021/Acs.Iecr.9B02370 |
0.348 |
|
2019 |
Luo W, Wang L, Zhang R, Gao F. 2D Switched Model-Based Infinite Horizon LQ Fault-Tolerant Tracking Control for Batch Process Industrial & Engineering Chemistry Research. 58: 9540-9551. DOI: 10.1021/Acs.Iecr.9B00657 |
0.39 |
|
2019 |
Li X, Wu F, Zhang R, Gao F. Nonlinear Multivariate Quality Prediction Based on OSC-SVM-PLS Industrial & Engineering Chemistry Research. 58: 8154-8161. DOI: 10.1021/Acs.Iecr.8B06079 |
0.36 |
|
2019 |
Hao S, Liu T, Gao F. PI based indirect-type iterative learning control for batch processes with time-varying uncertainties: A 2D FM model based approach Journal of Process Control. 78: 57-67. DOI: 10.1016/J.Jprocont.2019.04.003 |
0.427 |
|
2019 |
Tang X, Wang Y, Yao K, He Z, Gao F. Model migration based battery power capability evaluation considering uncertainties of temperature and aging Journal of Power Sources. 440: 227141. DOI: 10.1016/J.Jpowsour.2019.227141 |
0.488 |
|
2019 |
Tang X, Liu K, Wang X, Liu B, Gao F, Widanage WD. Real-time aging trajectory prediction using a base model-oriented gradient-correction particle filter for Lithium-ion batteries Journal of Power Sources. 440: 227118. DOI: 10.1016/J.Jpowsour.2019.227118 |
0.302 |
|
2019 |
Lu J, Gao F. A Polytopic Invariant Set Based Iterative Learning Model Predictive Control Ifac-Papersonline. 52: 649-654. DOI: 10.1016/J.Ifacol.2019.06.136 |
0.396 |
|
2019 |
Tang X, Wang Y, Zou C, Yao K, Xia Y, Gao F. A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging Energy Conversion and Management. 180: 162-170. DOI: 10.1016/J.Enconman.2018.10.082 |
0.474 |
|
2019 |
Tang X, Yao K, Zou C, Liu B, Gao F. Predicting Battery Aging Trajectory via a Migrated Aging Model and Bayesian Monte Carlo Method Energy Procedia. 158: 2456-2461. DOI: 10.1016/J.Egypro.2019.01.320 |
0.466 |
|
2019 |
Liu Y, Wang F, Chang Y, Gao F, He D. Performance-relevant kernel independent component analysis based operating performance assessment for nonlinear and non-Gaussian industrial processes Chemical Engineering Science. 209: 115167. DOI: 10.1016/J.Ces.2019.115167 |
0.362 |
|
2019 |
Tang X, Zou C, Yao K, Lu J, Xia Y, Gao F. Aging trajectory prediction for lithium-ion batteries via model migration and Bayesian Monte Carlo method Applied Energy. 254: 113591. DOI: 10.1016/J.Apenergy.2019.113591 |
0.473 |
|
2019 |
Tang X, Gao F, Zou C, Yao K, Hu W, Wik T. Load-responsive model switching estimation for state of charge of lithium-ion batteries Applied Energy. 238: 423-434. DOI: 10.1016/J.Apenergy.2019.01.057 |
0.485 |
|
2018 |
Tang X, Yao K, Liu B, Hu W, Gao F. Long-Term Battery Voltage, Power, and Surface Temperature Prediction Using a Model-Based Extreme Learning Machine Energies. 11: 86. DOI: 10.3390/En11010086 |
0.5 |
|
2018 |
Zhu J, Gao F. Similar Batch Process Monitoring With Orthogonal Subspace Alignment Ieee Transactions On Industrial Electronics. 65: 8173-8183. DOI: 10.1109/Tie.2018.2803785 |
0.371 |
|
2018 |
Lu J, Cao Z, Zhang R, Gao F. Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes Ieee Transactions On Industrial Electronics. 65: 5826-5836. DOI: 10.1109/Tie.2017.2782201 |
0.397 |
|
2018 |
Li W, Zhao C, Gao F. Linearity Evaluation and Variable Subset Partition Based Hierarchical Process Modeling and Monitoring Ieee Transactions On Industrial Electronics. 65: 2683-2692. DOI: 10.1109/Tie.2017.2745452 |
0.381 |
|
2018 |
Zhang R, Wu S, Cao Z, Lu J, Gao F. A Systematic Min–Max Optimization Design of Constrained Model Predictive Tracking Control for Industrial Processes against Uncertainty Ieee Transactions On Control Systems and Technology. 26: 2157-2164. DOI: 10.1109/Tcst.2017.2748059 |
0.431 |
|
2018 |
Zhu J, Yao Y, Gao F. Transfer of Qualitative and Quantitative Knowledge for Similar Batch Process Monitoring Ieee Access. 6: 73856-73870. DOI: 10.1109/Access.2018.2884652 |
0.355 |
|
2018 |
Wang L, Shen Y, Yu J, Li P, Zhang R, Gao F. Robust iterative learning control for multi-phase batch processes: an average dwell-time method with 2D convergence indexes International Journal of Systems Science. 49: 324-343. DOI: 10.1080/00207721.2017.1402215 |
0.421 |
|
2018 |
Hu X, Wang L, Gao F. Genetic-Algorithm-Optimization-Based Infinite Horizon Linear Quadratic Control for Injection Molding Batch Processes with Uncertainty Industrial & Engineering Chemistry Research. 57: 17462-17469. DOI: 10.1021/Acs.Iecr.8B04921 |
0.424 |
|
2018 |
Hu X, Zou H, Tao J, Gao F. Multimodel Fractional Predictive Functional Control Design with Application on an Industrial Heating Furnace Industrial & Engineering Chemistry Research. 57: 14182-14190. DOI: 10.1021/Acs.Iecr.8B03741 |
0.357 |
|
2018 |
Liu Y, Wang F, Gao F, Cui H. Hierarchical multiblock T-PLS based operating performance assessment for plant-wide processes Industrial & Engineering Chemistry Research. 57: 14617-14627. DOI: 10.1021/Acs.Iecr.8B02685 |
0.317 |
|
2018 |
Liu Y, Wang X, Wang F, Gao F. Gaussian Process Regression and Bayesian Inference Based Operating Performance Assessment for Multiphase Batch Processes Industrial & Engineering Chemistry Research. 57: 7232-7244. DOI: 10.1021/Acs.Iecr.8B00234 |
0.38 |
|
2018 |
Zhang R, Lv Q, Tao J, Gao F. Data Driven Modeling Using an Optimal Principle Component Analysis Based Neural Network and Its Application to a Nonlinear Coke Furnace Industrial & Engineering Chemistry Research. 57: 6344-6352. DOI: 10.1021/Acs.Iecr.8B00071 |
0.375 |
|
2018 |
Wang L, Liu B, Yu J, Li P, Zhang R, Gao F. Delay-Range-Dependent-Based Hybrid Iterative Learning Fault-Tolerant Guaranteed Cost Control for Multiphase Batch Processes Industrial & Engineering Chemistry Research. 2932. DOI: 10.1021/Acs.Iecr.7B04524 |
0.36 |
|
2018 |
Zhu J, Gao F. Improved Nonlinear Quality Estimation for Multiphase Batch Processes Based on Relevance Vector Machine with Neighborhood Component Variable Selection Industrial & Engineering Chemistry Research. 666. DOI: 10.1021/Acs.Iecr.7B03590 |
0.341 |
|
2018 |
Qu H, Li D, Zhang R, Gao F. An incremental Inter-agent learning method for adaptive control of multiple identical processes in mass production Neurocomputing. 315: 322-344. DOI: 10.1016/J.Neucom.2018.07.027 |
0.427 |
|
2018 |
Zhu J, Yao Y, Li D, Gao F. Monitoring big process data of industrial plants with multiple operating modes based on hadoop Journal of the Taiwan Institute of Chemical Engineers. 91: 10-21. DOI: 10.1016/J.Jtice.2018.05.020 |
0.366 |
|
2018 |
Shen Y, Wang L, Yu J, Zhang R, Gao F. A hybrid 2D fault-tolerant controller design for multi-phase batch processes with time delay Journal of Process Control. 69: 138-157. DOI: 10.1016/J.Jprocont.2018.07.011 |
0.418 |
|
2018 |
Luo L, Yao Y, Gao F, Zhao C. Mixed-effects Gaussian Process Modeling Approach With Application in Injection Molding Processes Journal of Process Control. 62: 37-43. DOI: 10.1016/J.Jprocont.2017.12.003 |
0.373 |
|
2018 |
Tang X, Zou C, Yao K, Chen G, Liu B, He Z, Gao F. A fast estimation algorithm for lithium-ion battery state of health Journal of Power Sources. 396: 453-458. DOI: 10.1016/J.Jpowsour.2018.06.036 |
0.49 |
|
2018 |
Lu J, Cao Z, Zhang R, Bo C, Gao F. A tube feedback iterative learning control for batch processes Ifac-Papersonline. 51: 785-790. DOI: 10.1016/J.Ifacol.2018.09.267 |
0.423 |
|
2018 |
Cao Z, Lu J, Zhang R, Gao F. Online Average-based System Modelling Method for Batch Process Computers & Chemical Engineering. 108: 128-138. DOI: 10.1016/J.Compchemeng.2017.09.005 |
0.43 |
|
2018 |
Liu Y, Ma R, Wang F, Chang Y, Gao F. Inner-phase and inter-phase analysis based operating performance assessment and nonoptimal cause identification for multiphase batch processes Chemical Engineering Research & Design. 134: 292-308. DOI: 10.1016/J.Cherd.2018.04.013 |
0.337 |
|
2018 |
Qin Y, Zhao C, Gao F. An intelligent non-optimality self-recovery method based on reinforcement learning with small data in big data era Chemometrics and Intelligent Laboratory Systems. 176: 89-100. DOI: 10.1016/J.Chemolab.2018.03.010 |
0.378 |
|
2018 |
Zhang S, Zhao C, Gao F. Two-directional concurrent strategy of mode identification and sequential phase division for multimode and multiphase batch process monitoring with uneven lengths Chemical Engineering Science. 178: 104-117. DOI: 10.1016/J.Ces.2017.12.025 |
0.323 |
|
2018 |
Zhu J, Ge Z, Song Z, Gao F. Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data Annual Reviews in Control. 46: 107-133. DOI: 10.1016/J.Arcontrol.2018.09.003 |
0.333 |
|
2018 |
Wang L, Wang R, Xiong Y, Wang H, Zhu L, Zhang K, Gao F. Guaranteed Cost Iterative Learning Control for Multi-Phase Batch Processes Journal of Shanghai Jiaotong University (Science). 23: 811-819. DOI: 10.1007/S12204-018-2002-1 |
0.42 |
|
2018 |
Wang L, Li B, Yu J, Zhang R, Gao F. Design of Fuzzy Iterative Learning Fault-tolerant Control for Batch Processes with Time-varying Delays Optimal Control Applications & Methods. 39: 1887-1903. DOI: 10.1002/Oca.2453 |
0.344 |
|
2018 |
Wang L, Shen Y, Li B, Yu J, Zhang R, Gao F. Hybrid Iterative Learning Fault-tolerant Guaranteed Cost Control Design for Multi-phase Batch Processes Canadian Journal of Chemical Engineering. 96: 521-530. DOI: 10.1002/Cjce.23080 |
0.401 |
|
2017 |
Wu S, Jin Q, Zhang R, Zhang J, Gao F. Improved design of constrained model predictive tracking control for batch processes against unknown uncertainties. Isa Transactions. PMID 28411952 DOI: 10.1016/J.Isatra.2017.04.006 |
0.441 |
|
2017 |
Wang Z, Lu R, Gao F, Liu D. An Indirect Data-Driven Method for Trajectory Tracking Control of a Class of Nonlinear Discrete-Time Systems Ieee Transactions On Industrial Electronics. 64: 4121-4129. DOI: 10.1109/Tie.2016.2617830 |
0.38 |
|
2017 |
Zhao C, Gao F. Critical-to-Fault-Degradation Variable Analysis and Direction Extraction for Online Fault Prognostic Ieee Transactions On Control Systems and Technology. 25: 842-854. DOI: 10.1109/Tcst.2016.2576018 |
0.301 |
|
2017 |
Cao Z, Durr H, Ebenbauer C, Allgower F, Gao F. Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings Ieee Transactions On Automatic Control. 62: 3339-3353. DOI: 10.1109/Tac.2016.2633724 |
0.324 |
|
2017 |
Li D, Li J, Xi Y, Gao F. The robust model predictive control based on mixed H2/H∞ approach with separated performance formulations and its ISpS analysis International Journal of Control. 90: 2721-2733. DOI: 10.1080/00207179.2016.1263875 |
0.35 |
|
2017 |
Fang T, Zhang R, Gao F. LQG Benchmark Based Performance Assessment of IMC-PID Temperature Control System Industrial & Engineering Chemistry Research. 56: 15102-15111. DOI: 10.1021/Acs.Iecr.7B03991 |
0.399 |
|
2017 |
Qin Y, Zhao C, Zhang S, Gao F. Multimode and Multiphase Batch Processes Understanding and Monitoring Based on between-Mode Similarity Evaluation and Multimode Discriminative Information Analysis Industrial & Engineering Chemistry Research. 56: 9679-9690. DOI: 10.1021/Acs.Iecr.7B02981 |
0.335 |
|
2017 |
Zhang R, Wu S, Gao F. State Space Model Predictive Control for Advanced Process Operation: A Review of Recent Development, New Results, and Insight Industrial & Engineering Chemistry Research. 56: 5360-5394. DOI: 10.1021/Acs.Iecr.7B01319 |
0.396 |
|
2017 |
Wang L, Sun L, Yu J, Zhang R, Gao F. Robust Iterative Learning Fault-Tolerant Control for Multiphase Batch Processes with Uncertainties Industrial & Engineering Chemistry Research. 56: 10099-10109. DOI: 10.1021/Acs.Iecr.7B00525 |
0.402 |
|
2017 |
Sun H, Zhang S, Zhao C, Gao F. A Sparse Reconstruction Strategy for Online Fault Diagnosis in Nonstationary Processes with No a Priori Fault Information Industrial & Engineering Chemistry Research. 56: 6993-7008. DOI: 10.1021/Acs.Iecr.7B00156 |
0.302 |
|
2017 |
Wang L, Zhu C, Yu J, Ping L, Zhang R, Gao F. Fuzzy Iterative Learning Control for Batch Processes with Interval Time-Varying Delays Industrial & Engineering Chemistry Research. 56: 3993-4001. DOI: 10.1021/Acs.Iecr.6B04637 |
0.384 |
|
2017 |
Gao M, Sheng L, Zhou D, Gao F. Iterative Learning Fault-Tolerant Control for Networked Batch Processes with Multirate Sampling and Quantization Effects Industrial & Engineering Chemistry Research. 56: 2515-2525. DOI: 10.1021/Acs.Iecr.6B04609 |
0.362 |
|
2017 |
Wang L, Liu F, Yu J, Li P, Zhang R, Gao F. Iterative learning fault-tolerant control for injection molding processes against actuator faults Journal of Process Control. 59: 59-72. DOI: 10.1016/J.Jprocont.2017.08.013 |
0.376 |
|
2017 |
Zhang R, Gao F, Christofides PD. An improved approach for H ∞ design of linear quadratic tracking control for chemical processes with partial actuator failure Journal of Process Control. 58: 63-72. DOI: 10.1016/J.Jprocont.2017.08.012 |
0.414 |
|
2017 |
Zhang R, Zou Q, Cao Z, Gao F. Design of fractional order modeling based extended non-minimal state space MPC for temperature in an industrial electric heating furnace Journal of Process Control. 56: 13-22. DOI: 10.1016/J.Jprocont.2017.05.003 |
0.359 |
|
2017 |
Zou Q, Zhang J, Zhang R, Gao F, Xue A. Fractional order MPC design using improved state space model Ifac-Papersonline. 50: 7535-7540. DOI: 10.1016/J.Ifacol.2017.08.1188 |
0.392 |
|
2017 |
Tang X, Liu B, Gao F. State of Charge Estimation of LiFePO 4 Battery Based on a Gain-classifier Observer Energy Procedia. 105: 2071-2076. DOI: 10.1016/J.Egypro.2017.03.585 |
0.32 |
|
2017 |
Zhao C, Gao F. A sparse dissimilarity analysis algorithm for incipient fault isolation with no priori fault information Control Engineering Practice. 65: 70-82. DOI: 10.1016/J.Conengprac.2017.05.005 |
0.335 |
|
2017 |
Qin Y, Zhao C, Wang X, Gao F. Subspace decomposition and critical phase selection based cumulative quality analysis for multiphase batch processes Chemical Engineering Science. 166: 130-143. DOI: 10.1016/J.Ces.2017.03.033 |
0.337 |
|
2017 |
Tang X, Liu B, Lv Z, Gao F. Observer based battery SOC estimation: Using multi-gain-switching approach Applied Energy. 204: 1275-1283. DOI: 10.1016/J.Apenergy.2017.03.079 |
0.308 |
|
2016 |
Lu J, Gao FH. Role and molecular mechanism of heterogeneous nuclear ribonucleoprotein K in tumor development and progression. Biomedical Reports. 4: 657-663. PMID 27284403 DOI: 10.3892/br.2016.642 |
0.321 |
|
2016 |
Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Acevedo Arozena A, Adachi H, Adams CM, Adams PD, Adeli K, Adhihetty PJ, Adler SG, Agam G, Agarwal R, Aghi MK, ... Gao FB, ... Gao F, et al. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy. 12: 1-222. PMID 26799652 DOI: 10.1080/15548627.2015.1100356 |
0.385 |
|
2016 |
Zhang R, Lu R, Xue A, Gao F. New Minmax Linear Quadratic Fault-Tolerant Tracking Control for Batch Processes Ieee Transactions On Automatic Control. 61: 3045-3051. DOI: 10.1109/Tac.2015.2504181 |
0.44 |
|
2016 |
Cao Z, Zhang R, Yang Y, Lu J, Gao F. Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes Ieee Transactions On Automatic Control. 61: 270-275. DOI: 10.1109/Tac.2015.2434073 |
0.314 |
|
2016 |
Lu J, Cao Z, Gao F. Ellipsoid invariant set-based robust model predictive control for repetitive processes with constraints Iet Control Theory and Applications. 10: 1018-1026. DOI: 10.1049/Iet-Cta.2015.0969 |
0.415 |
|
2016 |
Li D, Xi Y, Lu J, Gao F. Synthesis of Real-Time-Feedback-Based 2D Iterative Learning Control–Model Predictive Control for Constrained Batch Processes with Unknown Input Nonlinearity Industrial & Engineering Chemistry Research. 55: 13074-13084. DOI: 10.1021/Acs.Iecr.6B03275 |
0.429 |
|
2016 |
Zhao C, Wang W, Gao F. Probabilistic Fault Diagnosis Based on Monte Carlo and Nested-Loop Fisher Discriminant Analysis for Industrial Processes Industrial & Engineering Chemistry Research. 55: 12896-12908. DOI: 10.1021/Acs.Iecr.6B03221 |
0.324 |
|
2016 |
Cao Z, Yang Y, Yi H, Gao F. Priori Knowledge-Based Online Batch-to-Batch Identification in a Closed Loop and an Application to Injection Molding Industrial and Engineering Chemistry Research. 55: 8818-8829. DOI: 10.1021/Acs.Iecr.6B01900 |
0.398 |
|
2016 |
Zhang R, Tao J, Gao F. A New Approach of Takagi–Sugeno Fuzzy Modeling Using an Improved Genetic Algorithm Optimization for Oxygen Content in a Coke Furnace Industrial & Engineering Chemistry Research. 55: 6465-6474. DOI: 10.1021/Acs.Iecr.6B01364 |
0.346 |
|
2016 |
Yang Y, Cao W, Cao Z, Zhou H, Gao F, Shi J. Integrated Design Method of a Cascade Iterative Learning Control for the Cascaded Batch/Repetitive Processes Industrial and Engineering Chemistry Research. 55: 1598-1608. DOI: 10.1021/Acs.Iecr.5B02489 |
0.418 |
|
2016 |
Cao Z, Lu J, Zhang R, Gao F. Iterative learning Kalman filter for repetitive processes Journal of Process Control. 46: 92-104. DOI: 10.1016/J.Jprocont.2016.08.003 |
0.31 |
|
2016 |
Cao Z, Zhang R, Lu J, Gao F. Two-time dimensional recursive system identification incorporating priori pole and zero knowledge Journal of Process Control. 39: 100-110. DOI: 10.1016/J.Jprocont.2015.12.011 |
0.407 |
|
2016 |
Qu H, Zhang R, Gao F. ‘State Déjà vu’ inter-agent learning adaptive control framework Ifac-Papersonline. 49: 984-989. DOI: 10.1016/J.Ifacol.2016.07.330 |
0.339 |
|
2016 |
Zhao C, Wang W, Gao F. Stability Evaluation based Non-steady Variable Identification for Online Fault Prognosis Ifac-Papersonline. 49: 699-704. DOI: 10.1016/J.Ifacol.2016.07.260 |
0.323 |
|
2016 |
Cao Z, Zhang R, Lu J, Gao F. Online identification for batch processes in closed loop incorporating priori controller knowledge Computers and Chemical Engineering. 90: 222-233. DOI: 10.1016/J.Compchemeng.2016.04.025 |
0.42 |
|
2016 |
Guo S, Yuan D, Zhang R, Gao F. Prediction of human promoter with Least Square Support Vector Machine based on Kernel Locality Preserving Projection Chemometrics and Intelligent Laboratory Systems. 158: 69-79. DOI: 10.1016/J.Chemolab.2016.08.013 |
0.309 |
|
2016 |
Zheng J, Ge Z, Song Z, Gao F. Phase adaptive RVM model for quality prediction of multiphase batch processes with limited modeling batches Chemometrics and Intelligent Laboratory Systems. 156: 81-88. DOI: 10.1016/J.Chemolab.2016.05.017 |
0.39 |
|
2016 |
Qin Y, Zhao C, Gao F. An Iterative Two-Step Sequential Phase Partition (ITSPP) Method for Batch Process Modeling and Online Monitoring Aiche Journal. 62: 2358-2373. DOI: 10.1002/Aic.15205 |
0.366 |
|
2015 |
Lu J, Zhao Q, Zhai YJ, He HR, Yang LH, Gao F, Zhou RS, Zheng J, Ma XC. Genetic polymorphisms of CYP1A1 and risk of leukemia: a meta-analysis. Oncotargets and Therapy. 8: 2883-902. PMID 26491362 DOI: 10.2147/OTT.S92259 |
0.329 |
|
2015 |
Wang SC, Lin XL, Wang HY, Qin YJ, Chen L, Li J, Jia JS, Shen HF, Yang S, Xie RY, Wei F, Gao F, Rong XX, Yang J, Zhao WT, et al. Hes1 triggers epithelial-mesenchymal transition (EMT)-like cellular marker alterations and promotes invasion and metastasis of nasopharyngeal carcinoma by activating the PTEN/AKT pathway. Oncotarget. PMID 26452025 |
0.324 |
|
2015 |
Zhang XX, Du YF, Zhai YJ, Gao F, Yang YJ, Ma XC, Lu J, Zheng J. A common genetic variation in CEBPE and acute lymphoblastic leukemia: a meta-analysis of the available evidence. Oncotargets and Therapy. 8: 2443-51. PMID 26388693 DOI: 10.2147/OTT.S89661 |
0.332 |
|
2015 |
Li J, Yang S, Yan W, Yang J, Qin YJ, Lin XL, Xie RY, Wang SC, Jin W, Gao F, Shi JW, Zhao WT, Jia JS, Shen HF, Ke JR, et al. MicroRNA-19 triggers epithelial-mesenchymal transition of lung cancer cells accompanied by growth inhibition. Laboratory Investigation; a Journal of Technical Methods and Pathology. PMID 26098000 DOI: 10.1038/labinvest.2015.76 |
0.306 |
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2015 |
Sun S, Gao F, Mao Q, Shao J, Jiang L, Liu D, Wang Y, Yao X, Wu X, Sun B, Zhao D, Ma Y, Lu J, Kong W, Jiang C, et al. Immunogenicity and protective efficacy of an EV71 virus-like particle vaccine against lethal challenge in newborn mice. Human Vaccines & Immunotherapeutics. 0. PMID 26036916 DOI: 10.1080/21645515.2015.1053675 |
0.311 |
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2015 |
Li X, Gao F, Cai G, Jin Z, Lu J, Dong J, Yin H, Yu J, Yang M. Purification and characterisation of arabinoxylan arabinofuranohydrolase I responsible for the filterability of barley malt. Food Chemistry. 174: 286-90. PMID 25529682 DOI: 10.1016/j.foodchem.2014.11.024 |
0.32 |
|
2015 |
Zhang R, Cao Z, Lu R, Li P, Gao F. State-Space Predictive-P Control for Liquid Level in an Industrial Coke Fractionation Tower Ieee Transactions On Automation Science and Engineering. 12: 1516-1524. DOI: 10.1109/Tase.2014.2323340 |
0.399 |
|
2015 |
Zhao J, Yang Y, Chen X, Gao F. An Iterative Modeling and Trust-Region Optimization Method for Batch Processes Industrial & Engineering Chemistry Research. 54: 3186-3199. DOI: 10.1021/Ie505064G |
0.402 |
|
2015 |
Cao Z, Yang Y, Lu J, Gao F. Two-time-dimensional model predictive control of weld line positioning in bi-injection molding Industrial & Engineering Chemistry Research. 54: 4795-4804. DOI: 10.1021/Ie5041397 |
0.358 |
|
2015 |
Yang B, Xu Z, Yang Y, Gao F. Application of Two-Dimensional Predictive Functional Control in Injection Molding Industrial and Engineering Chemistry Research. 54: 10088-10102. DOI: 10.1021/Acs.Iecr.5B02385 |
0.391 |
|
2015 |
Li W, Zhao C, Gao F. Sequential Time Slice Alignment Based Unequal-Length Phase Identification and Modeling for Fault Detection of Irregular Batches Industrial & Engineering Chemistry Research. 54: 10020-10030. DOI: 10.1021/Acs.Iecr.5B01405 |
0.38 |
|
2015 |
Lu J, Cao Z, Wang Z, Gao F. A Two-Stage Design of Two-Dimensional Model Predictive Iterative Learning Control for Nonrepetitive Disturbance Attenuation Industrial & Engineering Chemistry Research. 54: 5683-5689. DOI: 10.1021/Acs.Iecr.5B01316 |
0.384 |
|
2015 |
Luo L, Yao Y, Gao F. Cost-effective process modeling and optimization methodology assisted by robust migration techniques Industrial & Engineering Chemistry Research. 54: 5736-5748. DOI: 10.1021/Acs.Iecr.5B00411 |
0.399 |
|
2015 |
Zhang R, Gao F. An improved decoupling structure based state space MPC design with improved performance Systems & Control Letters. 75: 77-83. DOI: 10.1016/J.Sysconle.2014.11.009 |
0.373 |
|
2015 |
Zhang R, Jin Q, Gao F. Design of state space linear quadratic tracking control using GA optimization for batch processes with partial actuator failure Journal of Process Control. 26: 102-114. DOI: 10.1016/J.Jprocont.2014.11.008 |
0.41 |
|
2015 |
Qin Y, Zhao C, Gao F. Multi-stage Process Analysis and Modelling based Online Monitoring for Chip Packaging Process Ifac-Papersonline. 48: 993-998. DOI: 10.1016/J.Ifacol.2015.12.260 |
0.376 |
|
2015 |
Liu B, Lu Z, Yao K, Gao F. A MPC Operation Method for A Photovoltaic System with Batteries Ifac-Papersonline. 48: 807-812. DOI: 10.1016/J.Ifacol.2015.09.068 |
0.469 |
|
2015 |
Lu J, Cao Z, Gao F. A stable two-time dimensional (2D) Model Predictive Control with zero terminal state constraints for constrained batch processes Ifac-Papersonline. 48: 514-519. DOI: 10.1016/J.Ifacol.2015.09.019 |
0.423 |
|
2015 |
Qin Y, Zhao C, Gao F. Integrated Optimization Based on Transition Tracking Analysis for Batch Processes Ifac-Papersonline. 48: 272-277. DOI: 10.1016/J.Ifacol.2015.08.193 |
0.384 |
|
2015 |
Zhang R, Gao F. Improved infinite horizon LQ tracking control for injection molding process against partial actuator failures Computers and Chemical Engineering. 80: 130-139. DOI: 10.1016/J.Compchemeng.2015.05.018 |
0.434 |
|
2015 |
Luo L, Yao Y, Gao F. Iterative improvement of parameter estimation for model migration by means of sequential experiments Computers & Chemical Engineering. 73: 128-140. DOI: 10.1016/J.Compchemeng.2014.12.001 |
0.343 |
|
2015 |
Zhao C, Gao F. A nested-loop Fisher discriminant analysis algorithm Chemometrics and Intelligent Laboratory Systems. 146: 396-406. DOI: 10.1016/J.Chemolab.2015.06.008 |
0.325 |
|
2015 |
Zhao C, Gao F. Online fault prognosis with relative deviation analysis and vector autoregressive modeling Chemical Engineering Science. 138: 531-543. DOI: 10.1016/J.Ces.2015.08.037 |
0.304 |
|
2015 |
Luo L, Yao Y, Gao F. Bayesian improved model migration methodology for fast process modeling by incorporating prior information Chemical Engineering Science. 134: 23-35. DOI: 10.1016/J.Ces.2015.04.045 |
0.358 |
|
2014 |
Zhang W, Yang P, Gao F, Yang J, Yao K. Effects of epigallocatechin gallate on the proliferation and apoptosis of the nasopharyngeal carcinoma cell line CNE2. Experimental and Therapeutic Medicine. 8: 1783-1788. PMID 25371733 DOI: 10.3892/etm.2014.2020 |
0.331 |
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2014 |
Li X, Jin Z, Gao F, Lu J, Cai G, Dong J, Yu J, Yang M. Comparative proteomic analysis of Dan'er malts produced from distinct malting processes by two-dimensional fluorescence difference in gel electrophoresis (2D-DIGE). Journal of Agricultural and Food Chemistry. 62: 9310-6. PMID 25190622 DOI: 10.1021/jf5030483 |
0.425 |
|
2014 |
Liu H, Xu XF, Zhao Y, Tang MC, Zhou YQ, Lu J, Gao FH. MicroRNA-191 promotes pancreatic cancer progression by targeting USP10. Tumour Biology : the Journal of the International Society For Oncodevelopmental Biology and Medicine. 35: 12157-63. PMID 25168367 DOI: 10.1007/s13277-014-2521-9 |
0.308 |
|
2014 |
Li X, Jin Z, Gao F, Lu J, Cai G, Dong J, Yu J, Yang M. Characterization of barley serpin Z7 that plays multiple roles in malt and beer. Journal of Agricultural and Food Chemistry. 62: 5643-50. PMID 24815751 DOI: 10.1021/jf405699z |
0.335 |
|
2014 |
Zheng H, Zhang K, Zhu XQ, Liu C, Lu J, Gao F, Zhou Y, Zheng H, Lin T, Li L, Tong G, Wei Z, Yuan S. Genetic manipulation of a transcription-regulating sequence of porcine reproductive and respiratory syndrome virus reveals key nucleotides determining its activity. Archives of Virology. 159: 1927-40. PMID 24562427 DOI: 10.1007/s00705-014-2018-2 |
0.314 |
|
2014 |
Jin Z, Cai GL, Li XM, Gao F, Yang JJ, Lu J, Dong JJ. Comparative proteomic analysis of green malts between barley (Hordeum vulgare) cultivars. Food Chemistry. 151: 266-70. PMID 24423531 DOI: 10.1016/j.foodchem.2013.11.065 |
0.337 |
|
2014 |
Shi J, Jiang Q, Cao Z, Zhou H, Gao F. Two-dimensional model predictive iterative learning control scheme based on a two-dimensional performance model Acta Automatica Sinica. 39: 565-573. DOI: 10.3724/Sp.J.1004.2013.00565 |
0.394 |
|
2014 |
Zhao C, Li W, Sun Y, Gao F. Multiple Local Reconstruction Model-based Fault Diagnosis for Continuous Processes: Multiple Local Reconstruction Model-based Fault Diagnosis for Continuous Processes Acta Automatica Sinica. 39: 487-493. DOI: 10.3724/Sp.J.1004.2013.00487 |
0.307 |
|
2014 |
Wang L, Chen X, Gao F. Delay-range-dependent robust BIBO stabilization of 2D discrete delayed systems via LMI approach Ifac Proceedings Volumes. 47: 10994-10999. DOI: 10.3182/20140824-6-Za-1003.01484 |
0.308 |
|
2014 |
Zhao J, Yang Y, Chen X, Gao F. Iterative optimization for batch processes through online modeling Ifac Proceedings Volumes. 47: 10445-10450. DOI: 10.3182/20140824-6-Za-1003.01176 |
0.394 |
|
2014 |
Lu J, Cao Z, Gao F. A Repetitiveness Index-based Adaptive Two Dimensional Iterative Learning Model Predictive Control Ifac Proceedings Volumes. 47: 3092-3097. DOI: 10.3182/20140824-6-Za-1003.01043 |
0.415 |
|
2014 |
Zhang R, Xue A, Gao F. Temperature control of industrial coke furnace using novel state space model predictive control Ieee Transactions On Industrial Informatics. 10: 2084-2092. DOI: 10.1109/Tii.2014.2350452 |
0.398 |
|
2014 |
Zhang R, Xue A, Lu R, Li P, Gao F. Real-time implementation of improved state-space MPC for air supply in a coke furnace Ieee Transactions On Industrial Electronics. 61: 3532-3539. DOI: 10.1109/Tie.2013.2284142 |
0.403 |
|
2014 |
Zhang R, Cao Z, Li P, Gao F. Design and implementation of an improved linear quadratic regulation control for oxygen content in a coke furnace Iet Control Theory and Applications. 8: 1303-1311. DOI: 10.1049/Iet-Cta.2013.1023 |
0.409 |
|
2014 |
Zhang R, Cao Z, Bo C, Li P, Gao F. New PID controller design using extended nonminimal state space model based predictive functional control structure Industrial and Engineering Chemistry Research. 53: 3283-3292. DOI: 10.1021/Ie403924P |
0.415 |
|
2014 |
Zhang R, Tao J, Gao F. Temperature Modeling in a Coke Furnace with an Improved RNA-GA Based RBF Network Industrial & Engineering Chemistry Research. 53: 3236-3245. DOI: 10.1021/Ie4027617 |
0.327 |
|
2014 |
Zhang R, Lu R, Xue A, Gao F. Predictive functional control for linear systems under partial actuator faults and application on an injection molding batch process Industrial and Engineering Chemistry Research. 53: 723-731. DOI: 10.1021/Ie401329X |
0.383 |
|
2014 |
Cao Z, Yang Y, Lu J, Gao F. Constrained two dimensional recursive least squares model identification for batch processes Journal of Process Control. 24: 871-879. DOI: 10.1016/J.Jprocont.2014.04.002 |
0.437 |
|
2014 |
Zhang R, Lu J, Qu H, Gao F. State space model predictive fault-tolerant control for batch processes with partial actuator failure Journal of Process Control. 24: 613-620. DOI: 10.1016/J.Jprocont.2014.03.004 |
0.378 |
|
2014 |
Zhang R, Wu S, Gao F. Improved PI controller based on predictive functional control for liquid level regulation in a coke fractionation tower Journal of Process Control. 24: 125-132. DOI: 10.1016/J.Jprocont.2014.01.004 |
0.387 |
|
2014 |
Li D, Gao F, Xi Y. Separated design of robust model predictive control for LPV systems with periodic disturbance Journal of Process Control. 24: 250-260. DOI: 10.1016/J.Jprocont.2013.10.010 |
0.394 |
|
2014 |
Bo C, Zhang R, Zhang C, Tang J, Qiao X, Gao F. Comparison of two types of control structures for benzene chlorine reactive distillation systems Chinese Journal of Chemical Engineering. 22: 837-841. DOI: 10.1016/J.Cjche.2014.05.009 |
0.372 |
|
2014 |
Zhao L, Zhao C, Gao F. Inter-batch-evolution-traced process monitoring based on inter-batch mode division for multiphase batch processes Chemometrics and Intelligent Laboratory Systems. 138: 178-192. DOI: 10.1016/J.Chemolab.2014.08.007 |
0.371 |
|
2014 |
Zhang R, Zou H, Xue A, Gao F. GA based predictive functional control for batch processes under actuator faults Chemometrics and Intelligent Laboratory Systems. 137: 67-73. DOI: 10.1016/J.Chemolab.2014.06.006 |
0.425 |
|
2014 |
Zhang R, Wu S, Lu R, Gao F. Predictive control optimization based PID control for temperature in an industrial surfactant reactor Chemometrics and Intelligent Laboratory Systems. 135: 48-62. DOI: 10.1016/J.Chemolab.2014.03.021 |
0.414 |
|
2014 |
Zhao L, Zhao C, Gao F. Regression modeling and quality prediction for multiphase batch processes with inner-phase analysis Chemometrics and Intelligent Laboratory Systems. 135: 1-16. DOI: 10.1016/J.Chemolab.2014.03.018 |
0.357 |
|
2014 |
Wu S, Zhang R, Lu R, Gao F. Design of dynamic matrix control based PID for residual oil outlet temperature in a coke furnace Chemometrics and Intelligent Laboratory Systems. 134: 110-117. DOI: 10.1016/J.Chemolab.2014.03.016 |
0.397 |
|
2014 |
Ge Z, Song Z, Zhao L, Gao F. Two-level PLS model for quality prediction of multiphase batch processes Chemometrics and Intelligent Laboratory Systems. 130: 29-36. DOI: 10.1016/J.Chemolab.2013.09.008 |
0.335 |
|
2014 |
Zhao C, Gao F. Statistical modeling and online fault detection for multiphase batch processes with analysis of between-phase relative changes Chemometrics and Intelligent Laboratory Systems. 130: 58-67. DOI: 10.1016/J.Chemolab.2013.09.003 |
0.353 |
|
2013 |
Jin Z, Li XM, Gao F, Sun JY, Mu YW, Lu J. Proteomic analysis of differences in barley (Hordeum vulgare) malts with distinct filterability by DIGE. Journal of Proteomics. 93: 93-106. PMID 23751817 DOI: 10.1016/j.jprot.2013.05.038 |
0.337 |
|
2013 |
Tang Y, Gong Y, Wang Y, Wu P, Liu Y, Lu J, Gao F, Chen T, Hou F, Hou J. Chimaeric VP2 proteins from infectious bursal disease virus containing the N-terminal M2e of H9 subtype avian influenza virus induce neutralizing antibody responses to both viruses. Avian Pathology : Journal of the W.V.P.A. 42: 260-7. PMID 23607544 DOI: 10.1080/03079457.2013.782096 |
0.303 |
|
2013 |
Yin Y, Liu C, Liu P, Yao H, Wei Z, Lu J, Tong G, Gao F, Yuan S. Conserved nucleotides in the terminus of the 3' UTR region are important for the replication and infectivity of porcine reproductive and respiratory syndrome virus. Archives of Virology. 158: 1719-32. PMID 23512575 DOI: 10.1007/s00705-013-1661-3 |
0.319 |
|
2013 |
Shi JW, Liu W, Zhang TT, Wang SC, Lin XL, Li J, Jia JS, Sheng HF, Yao ZF, Zhao WT, Zhao ZL, Xie RY, Yang S, Gao F, Fan QR, et al. The enforced expression of c-Myc in pig fibroblasts triggers mesenchymal-epithelial transition (MET) via F-actin reorganization and RhoA/Rock pathway inactivation. Cell Cycle (Georgetown, Tex.). 12: 1119-27. PMID 23466707 DOI: 10.4161/cc.24164 |
0.321 |
|
2013 |
Gao F, Yao H, Lu J, Wei Z, Zheng H, Zhuang J, Tong G, Yuan S. Replacement of the heterologous 5' untranslated region allows preservation of the fully functional activities of type 2 porcine reproductive and respiratory syndrome virus. Virology. 439: 1-12. PMID 23453581 DOI: 10.1016/j.virol.2012.12.013 |
0.317 |
|
2013 |
Gao F, Zhao ZL, Zhao WT, Fan QR, Wang SC, Li J, Zhang YQ, Shi JW, Lin XL, Yang S, Xie RY, Liu W, Zhang TT, Sun YL, Xu K, et al. miR-9 modulates the expression of interferon-regulated genes and MHC class I molecules in human nasopharyngeal carcinoma cells. Biochemical and Biophysical Research Communications. 431: 610-6. PMID 23291181 DOI: 10.1016/J.Bbrc.2012.12.097 |
0.308 |
|
2013 |
Lv Y, Liu L, Zhang H, Yao X, Gao F, Yao K, Dong L, Chen Y. Investigation of surface synergetic oxygen vacancy in CuO-CoO binary metal oxides supported on γ-Al2O3 for NO removal by CO. Journal of Colloid and Interface Science. 390: 158-69. PMID 23089598 DOI: 10.1016/j.jcis.2012.08.061 |
0.333 |
|
2013 |
Lu J, Li D, Cao Z, Gao F. Rejection of Periodic Disturbances Based on Adaptive Repetitive Model Predictive Control Ifac Proceedings Volumes. 46: 768-773. DOI: 10.3182/20131218-3-In-2045.00036 |
0.354 |
|
2013 |
Zhao L, Zhao C, Gao F. Quality-related inner-phase evolution analysis and quality prediction for uneven batch processes Ifac Proceedings Volumes. 46: 517-522. DOI: 10.3182/20131218-3-In-2045.00032 |
0.37 |
|
2013 |
Cao Z, Yang Y, Lu J, Gao F. Two dimensional recursive least squares for batch processes system identification Ifac Proceedings Volumes. 46: 780-784. DOI: 10.3182/20131218-3-In-2045.00031 |
0.42 |
|
2013 |
Qin X, Yang B, Gao F, Chen G. Treatment of Restaurant Wastewater by Pilot-Scale Electrocoagulation-Electroflotation: Optimization of Operating Conditions Journal of Environmental Engineering. 139: 1004-1016. DOI: 10.1061/(Asce)Ee.1943-7870.0000687 |
0.305 |
|
2013 |
Zhang R, Gan L, Lu J, Gao F. New Design of State Space Linear Quadratic Fault-Tolerant Tracking Control for Batch Processes with Partial Actuator Failure Industrial & Engineering Chemistry Research. 52: 16294-16300. DOI: 10.1021/Ie402066P |
0.389 |
|
2013 |
Zhao C, Gao F. Subspace Decomposition-Based Reconstruction Modeling for Fault Diagnosis in Multiphase Batch Processes Industrial & Engineering Chemistry Research. 52: 14613-14626. DOI: 10.1021/Ie401019K |
0.302 |
|
2013 |
Bo C, Tang J, Cui M, Feng K, Qiao X, Gao F. Control and profile setting of reactive distillation column for benzene chloride consecutive reaction system Industrial and Engineering Chemistry Research. 52: 17465-17474. DOI: 10.1021/Ie4007694 |
0.39 |
|
2013 |
Ge Z, Song Z, Gao F, Wang P. Information-Transfer PLS Model for Quality Prediction in Transition Periods of Batch Processes Industrial & Engineering Chemistry Research. 52: 5507-5511. DOI: 10.1021/Ie303267U |
0.342 |
|
2013 |
Wang L, Mo S, Zhou D, Gao F, Chen X. Delay-Range-Dependent Method for Iterative Learning Fault-Tolerant Guaranteed Cost Control for Batch Processes Industrial & Engineering Chemistry Research. 52: 2661-2671. DOI: 10.1021/Ie3030196 |
0.365 |
|
2013 |
Zhao L, Zhao C, Gao F. Inner-Phase Analysis Based Statistical Modeling and Online Monitoring for Uneven Multiphase Batch Processes Industrial & Engineering Chemistry Research. 52: 4586-4596. DOI: 10.1021/Ie302990N |
0.34 |
|
2013 |
Xu Z, Zhao J, Yang Y, Shao Z, Gao F. Optimal Iterative Learning Control Based on a Time-Parametrized Linear Time-Varying Model for Batch Processes Industrial & Engineering Chemistry Research. 52: 6182-6192. DOI: 10.1021/Ie302561T |
0.412 |
|
2013 |
Zhao C, Gao F. Multiset Independent Component Regression (MsICR) Based Statistical Data Analysis and Calibration Modeling Industrial & Engineering Chemistry Research. 52: 2917-2924. DOI: 10.1021/Ie3023302 |
0.306 |
|
2013 |
Ge Z, Song Z, Gao F. Review of Recent Research on Data-Based Process Monitoring Industrial & Engineering Chemistry Research. 52: 3543-3562. DOI: 10.1021/Ie302069Q |
0.347 |
|
2013 |
Zhang R, Gao F. State Space Model Predictive Control Using Partial Decoupling and Output Weighting for Improved Model/Plant Mismatch Performance Industrial & Engineering Chemistry Research. 52: 817-829. DOI: 10.1021/Ie300836M |
0.397 |
|
2013 |
Ge Z, Song Z, Gao F. Self-Training Statistical Quality Prediction of Batch Processes with Limited Quality Data Industrial & Engineering Chemistry Research. 52: 979-984. DOI: 10.1021/Ie300616S |
0.353 |
|
2013 |
WANG L, CHEN X, GAO F. An LMI Method to Robust Iterative Learning Fault-tolerant Guaranteed Cost Control for Batch Processes Chinese Journal of Chemical Engineering. 21: 401-411. DOI: 10.1016/S1004-9541(13)60490-7 |
0.418 |
|
2013 |
Wang L, Mo S, Zhou D, Gao F, Chen X. Delay-range-dependent robust 2D iterative learning control for batch processes with state delay and uncertainties Journal of Process Control. 23: 715-730. DOI: 10.1016/J.Jprocont.2013.02.009 |
0.391 |
|
2013 |
Wang L, Mo S, Qu H, Zhou D, Gao F. H∞ design of 2D controller for batch processes with uncertainties and interval time-varying delays Control Engineering Practice. 21: 1321-1333. DOI: 10.1016/J.Conengprac.2013.05.009 |
0.401 |
|
2013 |
Zhang R, Gao F. Multivariable decoupling predictive functional control with non-zero-pole cancellation and state weighting: Application on chamber pressure in a coke furnace Chemical Engineering Science. 94: 30-43. DOI: 10.1016/J.Ces.2013.02.050 |
0.398 |
|
2013 |
Li D, Xi Y, Gao F. Synthesis of dynamic output feedback RMPC with saturated inputs Automatica. 49: 949-954. DOI: 10.1016/J.Automatica.2013.01.010 |
0.38 |
|
2013 |
Wang L, Mo S, Zhou D, Gao F, Chen X. Delay-range-dependent guaranteed cost control for batch processes with state delay Aiche Journal. 59: 2033-2045. DOI: 10.1002/Aic.13993 |
0.37 |
|
2013 |
Ge Z, Song Z, Gao F. Incorporating setting information for maintenance-free quality modeling of batch processes Aiche Journal. 59: 772-779. DOI: 10.1002/Aic.13864 |
0.393 |
|
2013 |
Zhao C, Gao F, Sun Y. Between‐phase calibration modeling and transition analysis for phase‐based quality interpretation and prediction Aiche Journal. 59: 108-119. DOI: 10.1002/Aic.13790 |
0.312 |
|
2012 |
Luo WR, Gao F, Li SY, Yao KT. Tumour budding and the expression of cancer stem cell marker aldehyde dehydrogenase 1 in nasopharyngeal carcinoma. Histopathology. 61: 1072-81. PMID 23020521 DOI: 10.1111/j.1365-2559.2012.04350.x |
0.303 |
|
2012 |
Lv Y, Zhang H, Cao Y, Dong L, Zhang L, Yao K, Gao F, Dong L, Chen Y. Investigation of the physicochemical properties of CuO-CoO binary metal oxides supported on γ-Al2O3 and their activity for NO removal by CO. Journal of Colloid and Interface Science. 372: 63-72. PMID 22321989 DOI: 10.1016/j.jcis.2012.01.014 |
0.336 |
|
2012 |
Gao F, Lu J, Yao H, Wei Z, Yang Q, Yuan S. Cis-acting structural element in 5' UTR is essential for infectivity of porcine reproductive and respiratory syndrome virus. Virus Research. 163: 108-19. PMID 21924304 DOI: 10.1016/j.virusres.2011.08.018 |
0.318 |
|
2012 |
Yang Y, Yao K, Gao F. Overall Control System for Injection Molding Process International Polymer Processing. 27: 40-59. DOI: 10.3139/217.2501 |
0.511 |
|
2012 |
Jiang Z, Yang Y, Mo S, Yao K, Gao F. Polymer Extrusion: From Control System Design to Product Quality Industrial & Engineering Chemistry Research. 51: 14759-14770. DOI: 10.1021/Ie301036C |
0.529 |
|
2012 |
Zhao C, Gao F, Sun Y. Statistical Modeling and Online Monitoring Based on Between-Set Regression Analysis Industrial & Engineering Chemistry Research. 51: 8495-8509. DOI: 10.1021/Ie300731K |
0.301 |
|
2012 |
Ge Z, Song Z, Gao F. Statistical Prediction of Product Quality in Batch Processes with Limited Batch-Cycle Data Industrial & Engineering Chemistry Research. 51: 11409-11416. DOI: 10.1021/Ie202554R |
0.379 |
|
2012 |
Xu Z, Zhao J, Yang Y, Shao Z, Gao F. Robust Iterative Learning Control with Quadratic Performance Index Industrial & Engineering Chemistry Research. 51: 872-881. DOI: 10.1021/Ie201962Z |
0.379 |
|
2012 |
Zhao C, Gao F. Two-step Multiset Regression Analysis (MsRA) Algorithm Industrial & Engineering Chemistry Research. 51: 1337-1354. DOI: 10.1021/Ie201608F |
0.333 |
|
2012 |
Zhao L, Zhao C, Gao F. Phase Transition Analysis Based Quality Prediction for Multi-phase Batch Processes Chinese Journal of Chemical Engineering. 20: 1191-1197. DOI: 10.1016/S1004-9541(12)60607-7 |
0.339 |
|
2012 |
Dong W, Yao Y, Gao F. Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model Chinese Journal of Chemical Engineering. 20: 1121-1127. DOI: 10.1016/S1004-9541(12)60596-5 |
0.383 |
|
2012 |
Wang L, Mo S, Zhou D, Gao F, Chen X. Robust delay dependent iterative learning fault-tolerant control for batch processes with state delay and actuator failures Journal of Process Control. 22: 1273-1286. DOI: 10.1016/J.Jprocont.2012.05.016 |
0.399 |
|
2012 |
Mo S, Wang L, Yao Y, Gao F. Two-time dimensional dynamic matrix control for batch processes with convergence analysis against the 2D interval uncertainty Journal of Process Control. 22: 899-914. DOI: 10.1016/J.Jprocont.2012.03.002 |
0.431 |
|
2012 |
Zhang R, Xue A, Wang S, Zhang J, Gao F. Partially Decoupled Approach of Extended Non-minimal State Space Predictive Functional Control for MIMO Processes Journal of Process Control. 22: 837-851. DOI: 10.1016/J.Jprocont.2012.02.008 |
0.425 |
|
2012 |
Ge Z, Zhao L, Yao Y, Song Z, Gao F. Utilizing transition information in online quality prediction of multiphase batch processes Journal of Process Control. 22: 599-611. DOI: 10.1016/J.Jprocont.2012.01.004 |
0.373 |
|
2012 |
Yao Y, Dong W, Zhao L, Gao F. Multivariate statistical monitoring of multiphase batch processes with between‐phase transitions and uneven operation durations Canadian Journal of Chemical Engineering. 90: 1383-1392. DOI: 10.1002/Cjce.21617 |
0.381 |
|
2012 |
Xie L, Gao F, Huang B. 4th Symposium on advanced control of industrial processes (Adconip) Asia-Pacific Journal of Chemical Engineering. 7: 633-634. DOI: 10.1002/Apj.1667 |
0.319 |
|
2012 |
Ge Z, Song Z, Gao F. Nonlinear quality prediction for multiphase batch processes Aiche Journal. 58: 1778-1787. DOI: 10.1002/Aic.12717 |
0.379 |
|
2011 |
He JC, Wang JS, Lu JY, Li TT, Gao FH, Zhou P, Zhu CM, He LZ, Yu BB, Zhang SQ. [Analysis of trend of Oncomelania snail status in Yangtze River valley of Anhui Province, 1998-2009]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi = Chinese Journal of Schistosomiasis Control. 23: 199-201. PMID 22164628 |
0.364 |
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2011 |
Jiang S, Fang Q, Zhang F, Wan H, Zhang R, Wang C, Bao Y, Zhang L, Ma X, Lu J, Gao F, Xiang K, Jia W. Functional characterization of insulin receptor gene mutations contributing to Rabson-Mendenhall syndrome - phenotypic heterogeneity of insulin receptor gene mutations. Endocrine Journal. 58: 931-40. PMID 21869538 DOI: 10.1507/Endocrj.Ej11-0032 |
0.301 |
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2011 |
Lu J, Shen JJ, Chen G, Moseley CB, Sun M, Gao F, Wang Y, Mao Y, Hao M. Regional disparities in prenatal care services in rural China. Asia-Pacific Journal of Public Health / Asia-Pacific Academic Consortium For Public Health. 23: 682-9. PMID 21852422 DOI: 10.1177/1010539511418356 |
0.309 |
|
2011 |
Lu J, Gao F, Wei Z, Liu P, Liu C, Zheng H, Li Y, Lin T, Yuan S. A 5'-proximal stem-loop structure of 5' untranslated region of porcine reproductive and respiratory syndrome virus genome is key for virus replication. Virology Journal. 8: 172. PMID 21496223 DOI: 10.1186/1743-422X-8-172 |
0.321 |
|
2011 |
Liu T, Gao F. Enhanced IMC design of load disturbance rejection for integrating and unstable processes with slow dynamics. Isa Transactions. 50: 239-48. PMID 21159334 DOI: 10.1016/J.Isatra.2010.11.004 |
0.38 |
|
2011 |
Liu G, Wang Z, Lu J, Xia C, Gao F, Gong Q, Song B, Zhao X, Shuai X, Chen X, Ai H, Gu Z. Low molecular weight alkyl-polycation wrapped magnetite nanoparticle clusters as MRI probes for stem cell labeling and in vivo imaging. Biomaterials. 32: 528-37. PMID 20869767 DOI: 10.1016/j.biomaterials.2010.08.099 |
0.326 |
|
2011 |
Ge Z, Gao F, Song Z. Improved two-dimensional dynamic batch process monitoring with support vector data description Ifac Proceedings Volumes. 44: 13133-13138. DOI: 10.3182/20110828-6-It-1002.00282 |
0.385 |
|
2011 |
Wang Y, Tuo J, Zhao Z, Gao F. Optimal Structure of Learning-Type Set-Point in Various Set-Point- Related Indirect ILC Algorithms Industrial & Engineering Chemistry Research. 50: 13427-13434. DOI: 10.1021/Ie200021T |
0.332 |
|
2011 |
Kong X, Yang Y, Chen X, Shao Z, Gao F. Quality Control via Model-Free Optimization for a Type of Batch Process with a Short Cycle Time and Low Operational Cost Industrial & Engineering Chemistry Research. 50: 2994-3003. DOI: 10.1021/Ie1016927 |
0.403 |
|
2011 |
Zhao C, Mo S, Gao F, Lu N, Yao Y. Statistical analysis and online monitoring for handling multiphase batch processes with varying durations Journal of Process Control. 21: 817-829. DOI: 10.1016/J.Jprocont.2011.04.005 |
0.335 |
|
2011 |
Ge Z, Gao F, Song Z. Batch process monitoring based on support vector data description method Journal of Process Control. 21: 949-959. DOI: 10.1016/J.Jprocont.2011.02.004 |
0.378 |
|
2011 |
Wang L, Mo S, Zhou D, Gao F. Robust design of feedback integrated with iterative learning control for batch processes with uncertainties and interval time-varying delays Journal of Process Control. 21: 987-996. DOI: 10.1016/J.Jprocont.2010.09.008 |
0.383 |
|
2011 |
Ge Z, Gao F, Song Z. Mixture probabilistic PCR model for soft sensing of multimode processes Chemometrics and Intelligent Laboratory Systems. 105: 91-105. DOI: 10.1016/J.Chemolab.2010.11.004 |
0.392 |
|
2011 |
Zhao C, Gao F. Multiphase calibration modeling and quality interpretation by priority sorting Chemical Engineering Science. 66: 5400-5409. DOI: 10.1016/J.Ces.2011.07.057 |
0.347 |
|
2011 |
Ge Z, Gao F, Song Z. Two-dimensional Bayesian monitoring method for nonlinear multimode processes Chemical Engineering Science. 66: 5173-5183. DOI: 10.1016/J.Ces.2011.07.001 |
0.368 |
|
2011 |
Yan W, Hu S, Yang Y, Gao F, Chen T. Bayesian migration of Gaussian process regression for rapid process modeling and optimization Chemical Engineering Journal. 166: 1095-1103. DOI: 10.1016/J.Cej.2010.11.097 |
0.392 |
|
2011 |
Zhao C, Gao F. A bidirectional between-set statistical analysis method and its applications Aiche Journal. 57: 1233-1249. DOI: 10.1002/Aic.12339 |
0.324 |
|
2011 |
Zhao C, Gao F, Wang F. Spectra data analysis and calibration modeling method using spectra subspace separation and multiblock independent component regression strategy Aiche Journal. 57: 1202-1215. DOI: 10.1002/Aic.12333 |
0.312 |
|
2011 |
Zhao C, Gao F, Niu D, Wang F. Enhanced process comprehension and quality analysis based on subspace separation for multiphase batch processes Aiche Journal. 57: 388-403. DOI: 10.1002/Aic.12275 |
0.371 |
|
2010 |
Zhao C, Wang F, Yao Y, Gao F. Phase-based statistical modeling, online monitoring and quality prediction for batch processes Acta Automatica Sinica. 36: 366-374. DOI: 10.3724/Sp.J.1004.2010.00366 |
0.359 |
|
2010 |
Zhao C, Gao F. Improved Phase-based Calibration Modelling and Quality Prediction by Investigating the Effects of Inter-phase Correlation Ifac Proceedings Volumes. 43: 355-360. DOI: 10.3182/20100705-3-Be-2011.00059 |
0.364 |
|
2010 |
liu T, Gao F. Enhanced IMC-based Load Disturbance Rejection Design for Integrating Processes with Slow Dynamics Ifac Proceedings Volumes. 43: 67-72. DOI: 10.3182/20100705-3-Be-2011.00012 |
0.385 |
|
2010 |
Liu T, Gao F. New insight into internal model control filter design for load disturbance rejection Iet Control Theory and Applications. 4: 448-460. DOI: 10.1049/Iet-Cta.2008.0472 |
0.338 |
|
2010 |
Zhao C, Gao F, Wang F. Phase-Based Joint Modeling and Spectroscopy Analysis for Batch Processes Monitoring Industrial & Engineering Chemistry Research. 49: 669-681. DOI: 10.1021/Ie9005996 |
0.342 |
|
2010 |
Liu T, Zhou F, Yang Y, Gao F. Step response identification under inherent-type load disturbance with application to injection molding Industrial & Engineering Chemistry Research. 49: 11572-11581. DOI: 10.1021/Ie1015427 |
0.395 |
|
2010 |
Zhao C, Gao F. Multiblock-Based Qualitative and Quantitative Spectral Calibration Analysis Industrial & Engineering Chemistry Research. 49: 8694-8704. DOI: 10.1021/Ie100892Y |
0.323 |
|
2010 |
Yao Y, Gao F. Statistical Monitoring and Fault Diagnosis of Batch Processes Using Two-Dimensional Dynamic Information Industrial & Engineering Chemistry Research. 49: 9961-9969. DOI: 10.1021/Ie100860X |
0.359 |
|
2010 |
Yao Y, Chen T, Gao F. Multivariate statistical monitoring of two-dimensional dynamic batch processes utilizing non-Gaussian information Journal of Process Control. 20: 1188-1197. DOI: 10.1016/J.Jprocont.2010.07.002 |
0.347 |
|
2010 |
Liu T, Gao F. A frequency domain step response identification method for continuous-time processes with time delay Journal of Process Control. 20: 800-809. DOI: 10.1016/J.Jprocont.2010.04.007 |
0.364 |
|
2010 |
Liu T, Gao F, Wang Y. IMC-based iterative learning control for batch processes with uncertain time delay Journal of Process Control. 20: 173-180. DOI: 10.1016/J.Jprocont.2009.10.008 |
0.419 |
|
2010 |
Xue Y, Li D, Gao F. Multi-objective optimization and selection for the PI control of ALSTOM gasifier problem Control Engineering Practice. 18: 67-76. DOI: 10.1016/J.Conengprac.2009.09.004 |
0.333 |
|
2010 |
Liu T, Gao F. Robust two-dimensional iterative learning control for batch processes with state delay and time-varying uncertainties Chemical Engineering Science. 65: 6134-6144. DOI: 10.1016/J.Ces.2010.08.031 |
0.434 |
|
2010 |
Liu T, Gao F. Closed-loop step response identification of integrating and unstable processes Chemical Engineering Science. 65: 2884-2895. DOI: 10.1016/J.Ces.2010.01.013 |
0.38 |
|
2010 |
Chen X, Zhang L, Kong X, Lu J, Gao F. Automatic velocity profile determination for uniform filling in injection molding Polymer Engineering and Science. 50: 1358-1371. DOI: 10.1002/Pen.21674 |
0.476 |
|
2010 |
Zhao C, Gao F, Wang F. An improved independent component regression modeling and quantitative calibration procedure Aiche Journal. 56: 1519-1535. DOI: 10.1002/Aic.12079 |
0.359 |
|
2009 |
Gao FJ, Yao KP, Tsai CS, Wang KY. Predictors of health care needs in discharged patients who have undergone coronary artery bypass graft surgery. Heart & Lung : the Journal of Critical Care. 38: 182-91. PMID 19486786 DOI: 10.1016/j.hrtlng.2008.07.006 |
0.304 |
|
2009 |
Lu J, Ma S, Sun J, Xia C, Liu C, Wang Z, Zhao X, Gao F, Gong Q, Song B, Shuai X, Ai H, Gu Z. Manganese ferrite nanoparticle micellar nanocomposites as MRI contrast agent for liver imaging. Biomaterials. 30: 2919-28. PMID 19230966 DOI: 10.1016/j.biomaterials.2009.02.001 |
0.304 |
|
2009 |
Gao F, Fang Q, Zhang R, Lu J, Lu H, Wang C, Ma X, Xu J, Jia W, Xiang K. Polymorphism of DsbA-L gene associates with insulin secretion and body fat distribution in Chinese population. Endocrine Journal. 56: 487-94. PMID 19225211 DOI: 10.1507/endocrj.K08E-322 |
0.309 |
|
2009 |
Yao Y, Gao F. Batch Process Monitoring and Fault Diagnosis Based on Multi-Time-Scale Dynamic PCA Models Ifac Proceedings Volumes. 42: 940-945. DOI: 10.3182/20090712-4-Tr-2008.00154 |
0.333 |
|
2009 |
Liu T, Gao F. Identification of low-order unstable process model from closed-loop step test Ifac Proceedings Volumes. 42: 447-451. DOI: 10.3182/20090712-4-Tr-2008.00071 |
0.383 |
|
2009 |
Zhou F, Yao K, Chen X, Gao F. In-mold Melt Front Rate Control Using a Capacitive Transducer in Injection Molding International Polymer Processing. 24: 253-260. DOI: 10.3139/217.2242 |
0.533 |
|
2009 |
Liu T, Yao K, Gao F. Identification and Autotuning of Temperature-Control System With Application to Injection Molding Ieee Transactions On Control Systems and Technology. 17: 1282-1294. DOI: 10.1109/Tcst.2008.2006746 |
0.531 |
|
2009 |
Yao Y, Zhao C, Gao F. Batch-to-Batch Steady State Identification Based on Variable Correlation and Mahalanobis Distance Industrial & Engineering Chemistry Research. 48: 11060-11070. DOI: 10.1021/Ie901107H |
0.384 |
|
2009 |
Lu J, Yao Y, Gao F. Model Migration for Development of a New Process Model Industrial & Engineering Chemistry Research. 48: 9603-9610. DOI: 10.1021/Ie8013296 |
0.527 |
|
2009 |
Zhao C, Gao F, Wang F. Nonlinear Batch Process Monitoring Using Phase-Based Kernel-Independent Component Analysis-Principal Component Analysis (KICA-PCA) Industrial & Engineering Chemistry Research. 48: 9163-9174. DOI: 10.1021/Ie8012874 |
0.373 |
|
2009 |
Yao Y, Diao Y, Lu N, Lu J, Gao F. Two-Dimensional Dynamic Principal Component Analysis with Autodetermined Support Region Industrial & Engineering Chemistry Research. 48: 837-843. DOI: 10.1021/Ie800825M |
0.507 |
|
2009 |
Wang Y, Gao F, Doyle FJ. Survey on iterative learning control, repetitive control, and run-to-run control Journal of Process Control. 19: 1589-1600. DOI: 10.1016/J.Jprocont.2009.09.006 |
0.356 |
|
2009 |
Yao Y, Gao F. Multivariate statistical monitoring of multiphase two-dimensional dynamic batch processes Journal of Process Control. 19: 1716-1724. DOI: 10.1016/J.Jprocont.2009.07.003 |
0.355 |
|
2009 |
Wang Y, Zhou D, Gao F. Generalized predictive control of linear systems with actuator arrearage faults Journal of Process Control. 19: 803-815. DOI: 10.1016/J.Jprocont.2008.11.005 |
0.369 |
|
2009 |
Yao Y, Gao F. Phase and transition based batch process modeling and online monitoring Journal of Process Control. 19: 816-826. DOI: 10.1016/J.Jprocont.2008.11.001 |
0.362 |
|
2009 |
Zhao C, Wang F, Gao F. Improved calibration investigation using phase-wise local and cumulative quality interpretation and prediction Chemometrics and Intelligent Laboratory Systems. 95: 107-121. DOI: 10.1016/J.Chemolab.2008.09.003 |
0.337 |
|
2009 |
Liu T, Gao F. Brief paper: A generalized relay identification method for time delay and non-minimum phase processes Automatica. 45: 1072-1079. DOI: 10.1016/J.Automatica.2008.11.024 |
0.353 |
|
2009 |
Yao Y, Gao F. A survey on multistage/multiphase statistical modeling methods for batch processes Annual Reviews in Control. 33: 172-183. DOI: 10.1016/J.Arcontrol.2009.08.001 |
0.415 |
|
2009 |
Zhao C, Gao F, Yao Y, Wang F. A Robust Calibration Modeling Strategy for Analysis of Interference-Subject Spectral Data Aiche Journal. 56: 196-206. DOI: 10.1002/Aic.11998 |
0.317 |
|
2009 |
Lu J, Yao K, Gao F. Process similarity and developing new process models through migration Aiche Journal. 55: 2318-2328. DOI: 10.1002/Aic.11822 |
0.627 |
|
2008 |
Zheng TY, Hou JC, Lu JL, Xu JQ, Gao FY, Yang YH, Wan ZZ, Zhi MX. [Clinical observation for curative effects of epidural injection of Mailuoning for the treatment of lumbar intervertebral disc herniation]. Zhongguo Gu Shang = China Journal of Orthopaedics and Traumatology. 21: 703-4. PMID 19105297 |
0.301 |
|
2008 |
Liu T, Gao F. Relay-based autotuning of PID controller for improved load disturbance rejection Ifac Proceedings Volumes. 41: 10933-10938. DOI: 10.3182/20080706-5-Kr-1001.01852 |
0.412 |
|
2008 |
Yao Y, Gao F. Stage-Oriented Statistical Batch Processes Monitoring, Quality Prediction and Improvement Ifac Proceedings Volumes. 41: 4499-4510. DOI: 10.3182/20080706-5-Kr-1001.00758 |
0.347 |
|
2008 |
Li D, Gao F, Xue Y, Lu C. Optimization Of Decentralized Pi/Pid Controllers Based On Genetic Algorithm Asian Journal of Control. 9: 306-316. DOI: 10.1111/J.1934-6093.2007.Tb00416.X |
0.365 |
|
2008 |
Liu T, Gao F. Robust Step-Like Identification of Low-Order Process Model Under Nonzero Initial Conditions and Disturbance Ieee Transactions On Automatic Control. 53: 2690-2695. DOI: 10.1109/Tac.2008.2007172 |
0.373 |
|
2008 |
Zhao C, Wang F, Gao F, Zhang Y. Enhanced Process Comprehension and Statistical Analysis for Slow-Varying Batch Processes Industrial & Engineering Chemistry Research. 47: 9996-10008. DOI: 10.1021/Ie800643D |
0.342 |
|
2008 |
Lu J, Gao F. Model Migration with Inclusive Similarity for Development of a New Process Model Industrial & Engineering Chemistry Research. 47: 9508-9516. DOI: 10.1021/Ie800595A |
0.527 |
|
2008 |
Liu T, Gao F. Alternative identification algorithms for obtaining a first-order stable/unstable process model from a single relay feedback test Industrial & Engineering Chemistry Research. 47: 1140-1149. DOI: 10.1021/Ie070856D |
0.389 |
|
2008 |
Lu J, Gao F. Process Modeling Based on Process Similarity Industrial & Engineering Chemistry Research. 47: 1967-1974. DOI: 10.1021/Ie0704851 |
0.537 |
|
2008 |
Wong HY, Fung KT, Gao F. Development of a transducer for in-line and through cycle monitoring of key process and quality variables in injection molding Sensors and Actuators a-Physical. 141: 712-722. DOI: 10.1016/J.Sna.2007.10.038 |
0.338 |
|
2008 |
Wang Y, Zhou D, Gao F. Iterative learning model predictive control for multi-phase batch processes Journal of Process Control. 18: 543-557. DOI: 10.1016/J.Jprocont.2007.10.014 |
0.435 |
|
2008 |
Yao K, Gao F, Allgöwer F. Barrel temperature control during operation transition in injection molding Control Engineering Practice. 16: 1259-1264. DOI: 10.1016/J.Conengprac.2008.02.003 |
0.509 |
|
2008 |
Liu T, Gao F. Identification of integrating and unstable processes from relay feedback Computers & Chemical Engineering. 32: 3038-3056. DOI: 10.1016/J.Compchemeng.2008.04.006 |
0.373 |
|
2008 |
Yao Y, Gao F. Subspace identification for two-dimensional dynamic batch process statistical monitoring Chemical Engineering Science. 63: 3411-3418. DOI: 10.1016/J.Ces.2008.04.007 |
0.35 |
|
2008 |
Wang Y, Zhou D, Gao F. Iterative learning reliable control of batch processes with sensor faults Chemical Engineering Science. 63: 1039-1051. DOI: 10.1016/J.Ces.2007.11.005 |
0.42 |
|
2008 |
Wang Y, Jiang C, Zhou D, Gao F. Variable structure control for a class of nonlinear systems with mismatched uncertainties Applied Mathematics and Computation. 200: 387-400. DOI: 10.1016/J.Amc.2007.11.018 |
0.341 |
|
2008 |
Tian YC, Gao F. Analysis and Implementation of the Double-Controller Scheme Developments in Chemical Engineering and Mineral Processing. 9: 57-68. DOI: 10.1002/Apj.5500090208 |
0.361 |
|
2008 |
Tian Y-, Hou C-, Gao F. Mathematical Model of a Continuous Galvanizing Annealing Furnace Developments in Chemical Engineering and Mineral Processing. 8: 359-374. DOI: 10.1002/Apj.5500080314 |
0.331 |
|
2008 |
Liu T, Gao F, Wang Y. A systematic approach for on‐line identification of second‐order process model from relay feedback test Aiche Journal. 54: 1560-1578. DOI: 10.1002/Aic.11476 |
0.412 |
|
2008 |
Yang Y, Yao K, Gao F. Injection molding control: From single cycle to batch control Advances in Polymer Technology. 27: 217-223. DOI: 10.1002/Adv.20135 |
0.556 |
|
2007 |
Lu J, Gao F. Batch Process Modeling Based On Process Similarity Ifac Proceedings Volumes. 40: 379-384. DOI: 10.3182/20070606-3-Mx-2915.00111 |
0.536 |
|
2007 |
Wang Y, Yang Y, Gao F, Zhou D. Control Of Multi-Phase Batch Processes: Formulation And Challenge Ifac Proceedings Volumes. 40: 339-344. DOI: 10.3182/20070606-3-Mx-2915.00104 |
0.332 |
|
2007 |
Shi J, Gao F. Higher-Order Generalized 2D Predictive Iterative Learning Control Schemes Ifac Proceedings Volumes. 40: 243-248. DOI: 10.3182/20070606-3-Mx-2915.00088 |
0.347 |
|
2007 |
Yao Y, Lu N, Gao F. Two-Dimensional Dynamic Pca With Auto-Selected Support Region Ifac Proceedings Volumes. 40: 69-74. DOI: 10.3182/20070606-3-Mx-2915.00010 |
0.356 |
|
2007 |
Yao Y, Gao F. Batch Process Monitoring in Score Space of Two-Dimensional Dynamic Principal Component Analysis (PCA) Industrial & Engineering Chemistry Research. 46: 8033-8043. DOI: 10.1021/Ie070579A |
0.309 |
|
2007 |
Wang Y, Yang Y, Zhou D, Gao F. Active fault-tolerant control of nonlinear batch processes with sensor faults Industrial & Engineering Chemistry Research. 46: 9158-9169. DOI: 10.1021/Ie0702835 |
0.331 |
|
2007 |
Zhao C, Wang F, Gao F, Lu N, Jia M. Adaptive Monitoring Method for Batch Processes Based on Phase Dissimilarity Updating with Limited Modeling Data Industrial & Engineering Chemistry Research. 46: 4943-4953. DOI: 10.1021/Ie061320F |
0.404 |
|
2007 |
Liu T, Zhang W, Gao F. Analytical Two-Degrees-of-Freedom (2-DOF) Decoupling Control Scheme for Multiple-Input−Multiple-Output (MIMO) Processes with Time Delays Industrial & Engineering Chemistry Research. 46: 6546-6557. DOI: 10.1021/Ie0612921 |
0.407 |
|
2007 |
Shi J, Gao F, Wu T. Single-cycle and multi-cycle generalized 2D model predictive iterative learning control (2D-GPILC) schemes for batch processes Journal of Process Control. 17: 715-727. DOI: 10.1016/J.Jprocont.2007.02.002 |
0.324 |
|
2007 |
Wang Y, Zhou D, Gao F. Robust fault-tolerant control of a class of non-minimum phase nonlinear processes Journal of Process Control. 17: 523-537. DOI: 10.1016/J.Jprocont.2006.12.002 |
0.365 |
|
2007 |
Liu T, Zhang W, Gao F. Analytical decoupling control strategy using a unity feedback control structure for MIMO processes with time delays Journal of Process Control. 17: 173-186. DOI: 10.1016/J.Jprocont.2006.08.010 |
0.409 |
|
2007 |
Yao K, Gao F. Optimal start-up control of injection molding barrel temperature Polymer Engineering and Science. 47: 254-261. DOI: 10.1002/Pen.20701 |
0.515 |
|
2006 |
Lu N, Yao Y, Gao F. Product Design Via Pls Modeling: Stepping Out Of Historical Data Into Unknown Operating Space Ifac Proceedings Volumes. 39: 951-956. DOI: 10.3182/20060402-4-Br-2902.00951 |
0.359 |
|
2006 |
Yang Y, Gao F. Injection Velocity Control Based-On An Iterative Learning And Feedback Combined Controller Ifac Proceedings Volumes. 39: 385-390. DOI: 10.3182/20060402-4-Br-2902.00385 |
0.384 |
|
2006 |
Shi J, Gao F, Wu T. 2D MODEL PREDICTIVE ITERATIVE LEARNING CONTROL SCHEMES FOR BATCH PROCESSES Ifac Proceedings Volumes. 39: 215-220. DOI: 10.3182/20060402-4-Br-2902.00215 |
0.35 |
|
2006 |
Wang Y, Shi J, Zhou D, Gao F. Iterative Learning Fault-Tolerant Control for Batch Processes Industrial & Engineering Chemistry Research. 45: 9050-9060. DOI: 10.1021/Ie060726P |
0.406 |
|
2006 |
Shi J, Gao F, Wu T. From Two-Dimensional Linear Quadratic Optimal Control to Iterative Learning Control. Paper 2. Iterative Learning Controls for Batch Processes Industrial & Engineering Chemistry Research. 45: 4617-4628. DOI: 10.1021/Ie051298A |
0.392 |
|
2006 |
Shi J, Gao F, Wu T. From Two-Dimensional Linear Quadratic Optimal Control to Iterative Learning Control. Paper 1. Two-Dimensional Linear Quadratic Optimal Controls and System Analysis Industrial & Engineering Chemistry Research. 45: 4603-4616. DOI: 10.1021/Ie051297I |
0.396 |
|
2006 |
Lu N, Gao F. Stage-based online quality control for batch processes Industrial and Engineering Chemistry Research. 45: 2272-2280. DOI: 10.1021/Ie050887D |
0.379 |
|
2006 |
Yang Y, Gao F. Injection molding product weight: Online prediction and control based on a nonlinear principal component regression model Polymer Engineering and Science. 46: 540-548. DOI: 10.1002/Pen.20522 |
0.333 |
|
2006 |
Wang H, Li P, Gao F, Song Z, Ding SX. Kernel classifier with adaptive structure and fixed memory for process diagnosis Aiche Journal. 52: 3515-3531. DOI: 10.1002/Aic.10982 |
0.347 |
|
2006 |
Shi J, Gao F, Wu T. Robust iterative learning control design for batch processes with uncertain perturbations and initialization Aiche Journal. 52: 2171-2187. DOI: 10.1002/Aic.10835 |
0.4 |
|
2005 |
Shi J, Gao F, Wu T. Integrated Design and Structure Analysis of Robust Iterative Learning Control System Based on a Two-Dimensional Model Industrial & Engineering Chemistry Research. 44: 8095-8105. DOI: 10.1021/Ie050211I |
0.367 |
|
2005 |
Lu N, Gao F. Stage-based process analysis and quality prediction for batch processes Industrial & Engineering Chemistry Research. 44: 3547-3555. DOI: 10.1021/Ie048852L |
0.35 |
|
2005 |
Shi J, Gao F, Wu T. Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system Journal of Process Control. 15: 907-924. DOI: 10.1016/J.Jprocont.2005.02.005 |
0.401 |
|
2005 |
Lu N, Yao Y, Gao F, Wang F. Two‐dimensional dynamic PCA for batch process monitoring Aiche Journal. 51: 3300-3304. DOI: 10.1002/Aic.10568 |
0.342 |
|
2004 |
Lu N, Gao F, Yang Y, Wang F. PCA-Based Modeling and On-line Monitoring Strategy for Uneven-Length Batch Processes Industrial & Engineering Chemistry Research. 43: 3343-3352. DOI: 10.1021/Ie030736F |
0.358 |
|
2004 |
Shao C, Luo G, Gao F. Robust Stable Adaptive Control of Uncertain Bilinear Plants and Its Application for Distillation Column Ifac Proceedings Volumes. 37: 785-790. DOI: 10.1016/S1474-6670(17)38829-8 |
0.376 |
|
2004 |
Shao C, Nie J, Gao F. A Robust Iterative Learning Control with Neural Networks for Robot Ifac Proceedings Volumes. 37: 779-784. DOI: 10.1016/S1474-6670(17)38828-6 |
0.322 |
|
2004 |
Zhang Y, Wang F, Yu G, Gao F. A Fault Accommodation Control for Nonlinear Processes 1 Ifac Proceedings Volumes. 37: 673-678. DOI: 10.1016/S1474-6670(17)38810-9 |
0.33 |
|
2004 |
Ma L, Jiang Y, Wang F, Gao F. Multi-PCA Models for Process Monitoring and Fault Diagnosis Ifac Proceedings Volumes. 37: 667-672. DOI: 10.1016/S1474-6670(17)38809-2 |
0.359 |
|
2004 |
Ma L, Wang F, Jiang Y, Gao F. A Fault Diagnosis Method for Fermentation Process Ifac Proceedings Volumes. 37: 661-665. DOI: 10.1016/S1474-6670(17)38808-0 |
0.383 |
|
2004 |
Yang Y, Gao F. Setting of Injection Velocity Profile via an Iterative Learning Control Approach Ifac Proceedings Volumes. 37: 571-576. DOI: 10.1016/S1474-6670(17)38793-1 |
0.345 |
|
2004 |
Lu N, Yang Y, Gao F, Wang F. Stage-Based Multivariate Statistical Analysis for Injection Molding Ifac Proceedings Volumes. 37: 439-444. DOI: 10.1016/S1474-6670(17)38771-2 |
0.365 |
|
2004 |
Lu N, Yang Y, Wang F, Gao F. A Stage-Based Monitoring Method for Batch Processes with Limited Reference Data Ifac Proceedings Volumes. 37: 787-792. DOI: 10.1016/S1474-6670(17)31906-7 |
0.379 |
|
2004 |
Lu N, Yang Y, Gao F, Wang F. Multirate dynamic inferential modeling for multivariable processes Chemical Engineering Science. 59: 855-864. DOI: 10.1016/J.Ces.2003.12.003 |
0.399 |
|
2004 |
Lu N, Gao F, Wang F. Sub‐PCA modeling and on‐line monitoring strategy for batch processes Aiche Journal. 50: 255-259. DOI: 10.1002/Aic.10024 |
0.349 |
|
2003 |
Lu N, Wang F, Gao F. Combination method of principal component and wavelet analysis for multivariate process monitoring and fault diagnosis Industrial & Engineering Chemistry Research. 42: 4198-4207. DOI: 10.1021/Ie0207313 |
0.362 |
|
2002 |
Yu L, Gao F. Output feedback guaranteed cost control for uncertain discrete-time systems using linear matrix inequalities Journal of Optimization Theory and Applications. 113: 621-634. DOI: 10.1023/A:1015369006867 |
0.329 |
|
2002 |
Chan HS, Leng Y, Gao F. Processing of PC/LCP in situ composites by closed-loop injection molding Composites Science and Technology. 62: 757-765. DOI: 10.1016/S0266-3538(02)00051-9 |
0.307 |
|
2001 |
Yang Y, Gao F. Strategies for Injection Filling Velocity Control Journal of Reinforced Plastics and Composites. 20: 1160-1170. DOI: 10.1106/Vxec-Vew5-Eqba-659G |
0.349 |
|
2001 |
Li M, Wang F, Gao F. PID-Based Sliding Mode Controller for Nonlinear Processes Industrial & Engineering Chemistry Research. 40: 2660-2667. DOI: 10.1021/Ie990715E |
0.403 |
|
2001 |
Li M, Wang F, Gao F. Identification and Control of Nonlinear Processes in the Presence of Unmeasured Load Disturbances Industrial & Engineering Chemistry Research. 40: 2275-2282. DOI: 10.1021/Ie0001063 |
0.373 |
|
2001 |
Shao C, Yang Y, Gao F, Wang F. Optimal iterative learning control with uncertain initializations and disturbances Ifac Proceedings Volumes. 34: 371-376. DOI: 10.1016/S1474-6670(17)33852-1 |
0.387 |
|
2001 |
Yu L, Gao F. Optimal guaranteed cost control of discrete-time uncertain systems with both state and input delays Journal of the Franklin Institute-Engineering and Applied Mathematics. 338: 101-110. DOI: 10.1016/S0016-0032(00)00073-9 |
0.317 |
|
2001 |
Gao F, Yang Y, Shao C. Robust iterative learning control with applications to injection molding process Chemical Engineering Science. 56: 7025-7034. DOI: 10.1016/S0009-2509(01)00339-6 |
0.413 |
|
2001 |
Li M, Yang Y, Gao F, Wang F. Fuzzy multi‐model based adaptive predictive control and its application to thermoplastic injection molding Canadian Journal of Chemical Engineering. 79: 263-272. DOI: 10.1002/Cjce.5450790209 |
0.343 |
|
2000 |
Gao F, Wang F, Li M. An Analytical Predictive Control Law for a Class of Nonlinear Processes Industrial & Engineering Chemistry Research. 39: 2029-2034. DOI: 10.1021/Ie9902176 |
0.407 |
|
2000 |
Yang Y, Gao F. Adaptive control of the filling velocity of thermoplastics injection molding Control Engineering Practice. 8: 1285-1296. DOI: 10.1016/S0967-0661(00)00060-5 |
0.374 |
|
2000 |
Gao F, Wang F, Li M. A simple nonlinear controller with diagonal recurrent neural network Chemical Engineering Science. 55: 1283-1288. DOI: 10.1016/S0009-2509(99)00399-1 |
0.375 |
|
2000 |
Gao F, Wang F, Li M. Predictive control for processes with input dynamic nonlinearity Chemical Engineering Science. 55: 4045-4052. DOI: 10.1016/S0009-2509(00)00076-2 |
0.396 |
|
2000 |
Gao F, Wang F, Li M. Neural network-based optimal iterative controller for nonlinear processes Canadian Journal of Chemical Engineering. 78: 363-370. DOI: 10.1002/Cjce.5450780211 |
0.352 |
|
1999 |
Yang Y, Gao F. Injection velocity control using a self-tuning adaptive controller International Polymer Processing. 14: 196-204. DOI: 10.3139/217.1537 |
0.355 |
|
1999 |
Tian YC, Gao F. Control of integrator processes with dominant time delay Industrial & Engineering Chemistry Research. 38: 2979-2983. DOI: 10.1021/Ie990033R |
0.364 |
|
1999 |
Gao F, Wang F, Li M. A neural-network-based nonlinear controller using an extended Kalman filter Industrial & Engineering Chemistry Research. 38: 2345-2349. DOI: 10.1021/Ie980727K |
0.342 |
|
1999 |
Tian YC, Gao F. Injection velocity control of thermoplastic injection molding via a double controller scheme Industrial & Engineering Chemistry Research. 38: 3396-3406. DOI: 10.1021/Ie980535P |
0.357 |
|
1999 |
Yang Y, Gao F. Adaptive Control of Injection Velocity of Thermoplastics Injection Molding Ifac Proceedings Volumes. 32: 6860-6865. DOI: 10.1016/S1474-6670(17)57171-2 |
0.366 |
|
1999 |
Tian Y, Gao F, Tadé MO, Tang J. Control of integrator processes with long dead-time Ifac Proceedings Volumes. 32: 1290-1295. DOI: 10.1016/S1474-6670(17)56218-7 |
0.345 |
|
1999 |
Yang Y, Gao F. Cycle-to-cycle and within-cycle adaptive control of nozzle pressure during packing-holding for thermoplastic injection molding Polymer Engineering and Science. 39: 2042-2063. DOI: 10.1002/Pen.11597 |
0.321 |
|
1999 |
Zhao C, Gao F. Melt temperature profile prediction for thermoplastic injection molding Polymer Engineering and Science. 39: 1787-1801. DOI: 10.1002/Pen.11573 |
0.33 |
|
1999 |
Tsoi HP, Gao F. Control of injection velocity using a fuzzy logic rule-based controller for thermoplastics injection molding Polymer Engineering and Science. 39: 3-17. DOI: 10.1002/Pen.11392 |
0.351 |
|
1998 |
Tian YC, Gao F. Double-Controller Scheme for Separating Load Rejection from Set-Point Tracking Chemical Engineering Research & Design. 76: 445-450. DOI: 10.1205/026387698525054 |
0.351 |
|
1998 |
Yang Y, Gao F. Adaptive Control of Nozzle Melt Packing Pressure Journal of Intelligent Material Systems and Structures. 9: 1046-1050. DOI: 10.1177/1045389X9800901210 |
0.32 |
|
1998 |
Tian YC, Gao F. Compensation of dominant and variable delay in process systems Industrial & Engineering Chemistry Research. 37: 982-986. DOI: 10.1021/Ie970507R |
0.391 |
|
1998 |
Gao F, Tian Y. A Double-Controller Scheme for Controlling Dominant Delay Processes Ifac Proceedings Volumes. 31: 443-448. DOI: 10.1016/S1474-6670(17)44966-4 |
0.395 |
|
1998 |
Tian Y, Gao F. Adaptive control of chaotic continuous-time systems with delay Physica D: Nonlinear Phenomena. 117: 1-12. DOI: 10.1016/S0167-2789(96)00319-3 |
0.345 |
|
1996 |
Gao F, Patterson WI, Kamal MR. Cavity pressure control during the cooling stage in thermoplastic injection molding Polymer Engineering and Science. 36: 2467-2476. DOI: 10.1002/Pen.10644 |
0.317 |
|
1996 |
Gao F, Patterson WI, Kamal MR. Cavity pressure dynamics and self-tuning control for filling and packing phases of thermoplastics injection molding Polymer Engineering and Science. 36: 1272-1285. DOI: 10.1002/Pen.10521 |
0.306 |
|
1994 |
Gao F, Patterson WI, Kamal MR. Self‐tuning cavity pressure control of injection molding filling Advances in Polymer Technology. 13: 111-120. DOI: 10.1002/Adv.1994.060130202 |
0.361 |
|
1993 |
Gao F, Patterson WI, Kamal MR. Dynamics and Control of Surface and Mold Temperatures in Injection Molding International Polymer Processing. 8: 147-157. DOI: 10.3139/217.930147 |
0.327 |
|
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