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Hector Budman - Publications

Affiliations: 
University of Waterloo, Waterloo, ON, Canada 
Area:
Chemical Engineering
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66 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Shen X, Budman H. A method for tackling primal multiplicity of solutions of dynamic flux balance models Computers & Chemical Engineering. 143: 107070. DOI: 10.1016/J.Compchemeng.2020.107070  0.372
2019 Carvalho M, Nikdel A, Riesberg J, Lyons D, Budman H. Identification of a Dynamic Metabolic Flux Model for a Mammalian Cell Culture Ifac-Papersonline. 52: 88-93. DOI: 10.1016/J.Ifacol.2019.06.042  0.387
2018 Santander O, Elkamel A, Budman H. Robust economic model predictive control: disturbance rejection, robustness and periodic operation in chemical reactors Engineering Optimization. 51: 896-914. DOI: 10.1080/0305215X.2018.1497617  0.402
2018 Fontes CH, Budman H. Evaluation of a Hybrid Clustering Approach for a Benchmark Industrial System Industrial & Engineering Chemistry Research. 57: 11039-11049. DOI: 10.1021/Acs.Iecr.8B00429  0.336
2018 Du Y, Budman H, Duever T. Robust Self-Tuning Control Design under Probabilistic Uncertainty using Polynomial Chaos Expansion-based Markov Models Ifac-Papersonline. 51: 750-755. DOI: 10.1016/J.Ifacol.2018.09.273  0.475
2018 Tangpromphan P, Budman H, Jaree A. A simplified strategy to reduce the desorbent consumption and equipment installed in a three-zone simulated moving bed process for the separation of glucose and fructose Chemical Engineering and Processing - Process Intensification. 126: 23-37. DOI: 10.1016/J.Cep.2018.02.001  0.311
2017 Fontes CH, Budman H. A hybrid clustering approach for multivariate time series - A case study applied to failure analysis in a gas turbine. Isa Transactions. PMID 28927843 DOI: 10.1016/J.Isatra.2017.09.004  0.323
2017 Martinez Villegas R, Budman H, Elkamel A. Identification of Dynamic Metabolic Flux Balance Models Based on Parametric Sensitivity Analysis Industrial & Engineering Chemistry Research. 56: 1911-1919. DOI: 10.1021/Acs.Iecr.6B03331  0.393
2017 Du Y, Budman H, Duever T. Robust Self-Tuning Control under Probabilistic Uncertainty using Generalized Polynomial Chaos Models Ifac-Papersonline. 50: 3524-3529. DOI: 10.1016/J.Ifacol.2017.08.944  0.476
2017 Kumar D, Budman H. Applications of Polynomial Chaos Expansions in optimization and control of bioreactors based on dynamic metabolic flux balance models Chemical Engineering Science. 167: 18-28. DOI: 10.1016/J.Ces.2017.03.035  0.444
2017 Du Y, Budman H, Duever T. Parameter Estimation for an Inverse Nonlinear Stochastic Problem: Reactivity Ratio Studies in Copolymerization Macromolecular Theory and Simulations. 26: 1600095. DOI: 10.1002/Mats.201600095  0.344
2016 Nikdel A, Budman H. Identification of active constraints in dynamic flux balance analysis. Biotechnology Progress. PMID 27790866 DOI: 10.1002/Btpr.2388  0.362
2016 Du Y, Duever TA, Budman H. Generalized Polynomial Chaos-Based Fault Detection and Classification for Nonlinear Dynamic Processes Industrial and Engineering Chemistry Research. 55: 2069-2082. DOI: 10.1021/Acs.Iecr.5B04694  0.348
2016 Du Y, Budman H, Duever TA. Integration of fault diagnosis and control based on a trade-off between fault detectability and closed loop performance Journal of Process Control. 38: 42-53. DOI: 10.1016/J.Jprocont.2015.12.007  0.366
2015 Du Y, Duever TA, Budman H. Stochastic Fault Diagnosis using a Generalized Polynomial Chaos Model and Maximum Likelihood Ifac-Papersonline. 48: 1270-1275. DOI: 10.1016/J.Ifacol.2015.09.143  0.332
2015 Kumar D, Budman H. Robust nonlinear predictive control for a bioreactor based on a Dynamic Metabolic Flux Balance model Ifac-Papersonline. 48: 930-935. DOI: 10.1016/J.Ifacol.2015.09.089  0.499
2014 Naderi S, Nikdel A, Meshram M, McConkey B, Ingalls B, Budman H, Scharer J. Modeling of cell culture damage and recovery leads to increased antibody and biomass productivity in CHO cell cultures. Biotechnology Journal. 9: 1152-63. PMID 24852214 DOI: 10.1002/Biot.201300287  0.353
2014 Mandur J, Budman H. Robust optimization of chemical processes using Bayesian description of parametric uncertainty Journal of Process Control. 24: 422-430. DOI: 10.1016/J.Jprocont.2013.10.004  0.389
2014 Kumar D, Budman H. Robust nonlinear MPC based on Volterra series and polynomial chaos expansions Journal of Process Control. 24: 304-317. DOI: 10.1016/J.Jprocont.2013.03.003  0.433
2014 Gutierrez G, Ricardez-Sandoval LA, Budman H, Prada C. An MPC-based control structure selection approach for simultaneous process and control design Computers and Chemical Engineering. 70: 11-21. DOI: 10.1016/j.compchemeng.2013.08.014  0.306
2013 Meshram M, Naderi S, McConkey B, Ingalls B, Scharer J, Budman H. Modeling the coupled extracellular and intracellular environments in mammalian cell culture. Metabolic Engineering. 19: 57-68. PMID 23810769 DOI: 10.1016/J.Ymben.2013.06.002  0.328
2013 Peiris RH, Jaklewicz M, Budman H, Legge RL, Moresoli C. Assessing the role of feed water constituents in irreversible membrane fouling of pilot-scale ultrafiltration drinking water treatment systems. Water Research. 47: 3364-74. PMID 23615336 DOI: 10.1016/J.Watres.2013.03.015  0.314
2013 Budman H, Patel N, Tamer M, Al-Gherwi W. A dynamic metabolic flux balance based model of fed-batch fermentation of Bordetella pertussis. Biotechnology Progress. 29: 520-31. PMID 23225786 DOI: 10.1002/Btpr.1675  0.366
2013 Peiris RH, Budman H, Moresoli C, Legge RL. Fouling control and optimization of a drinking water membrane filtration process with real-time model parameter adaptation using fluorescence and permeate flux measurements Journal of Process Control. 23: 70-77. DOI: 10.1016/J.Jprocont.2012.10.001  0.358
2011 Naderi S, Meshram M, Wei C, McConkey B, Ingalls B, Budman H, Scharer J. Development of a mathematical model for evaluating the dynamics of normal and apoptotic Chinese hamster ovary cells. Biotechnology Progress. 27: 1197-205. PMID 21618458 DOI: 10.1002/Btpr.647  0.386
2011 Gutierrez G, Ricardez L, Budman H, Prada C. Integration of Design and Control using an MPC-based superstructure for control structure selection. Ifac Proceedings Volumes. 44: 7648-7653. DOI: 10.3182/20110828-6-It-1002.02535  0.425
2011 Peiris R, Budman H, Moresoli C, Legge R. Optimization of a Membrane Filtration Process for Drinking Water Production using On-line Fluorescence and Permeate Flux measurements Ifac Proceedings Volumes. 44: 3783-3788. DOI: 10.3182/20110828-6-It-1002.00836  0.395
2011 Al-Gherwi W, Budman H, Elkamel A. A robust distributed model predictive control algorithm Journal of Process Control. 21: 1127-1137. DOI: 10.1016/J.Jprocont.2011.07.002  0.441
2011 Al‐Gherwi W, Budman H, Elkamel A. Robust distributed model predictive control: A review and recent developments The Canadian Journal of Chemical Engineering. 89: 1176-1190. DOI: 10.1002/Cjce.20555  0.447
2011 Peiris RH, Budman H, Moresoli C, Legge RL. Fluorescence-based fouling prediction and optimization of a membrane filtration process for drinking water treatment Aiche Journal. 58: 1475-1486. DOI: 10.1002/Aic.12684  0.373
2010 Elshereef R, Budman H, Moresoli C, Legge RL. Monitoring the fractionation of a whey protein isolate during dead-end membrane filtration using fluorescence and chemometric methods. Biotechnology Progress. 26: 168-78. PMID 19856385 DOI: 10.1002/Btpr.293  0.309
2010 Naderi S, Meshram M, Wei C, McConkey B, Ingalls B, Budman H, Scharer J. Metabolic flux and nutrient uptake modeling of normal and apoptotic CHO cells Ifac Proceedings Volumes. 43: 395-400. DOI: 10.3182/20100707-3-Be-2012.0005  0.324
2010 Madhuranthakam CR, Singh J, Elkamel A, Budman H. Optimal PID controller parameters for first order and second order systems with time delay using a connectionist approach Engineering Optimization. 42: 295-303. DOI: 10.1080/03052150903196917  0.369
2010 Díaz-Mendoza R, Budman H. Design of a Robust Nonlinear Model Predictive Controller Based on a Hybrid Model and Comparison to Other Approaches Industrial & Engineering Chemistry Research. 49: 11482-11490. DOI: 10.1021/Ie1016283  0.512
2010 Díaz-Mendoza R, Budman H. Structured Singular Valued based robust nonlinear model predictive controller using Volterra series models Journal of Process Control. 20: 653-663. DOI: 10.1016/J.Jprocont.2010.03.001  0.519
2010 Al-Gherwi W, Budman H, Elkamel A. Selection of control structure for distributed model predictive control in the presence of model errors Journal of Process Control. 20: 270-284. DOI: 10.1016/J.Jprocont.2009.12.003  0.476
2009 Dorka P, Fischer C, Budman H, Scharer JM. Metabolic flux-based modeling of mAb production during batch and fed-batch operations. Bioprocess and Biosystems Engineering. 32: 183-96. PMID 18560901 DOI: 10.1007/S00449-008-0236-2  0.39
2009 Al-Gherwi W, Budman H, Elkamel A. An Online Algorithm for Robust Distributed Model Predictive Control Ifac Proceedings Volumes. 42: 780-785. DOI: 10.3182/20090712-4-Tr-2008.00127  0.441
2009 Díaz-Mendoza R, Budman H. Robust Nonlinear Model Predictive Control using Volterra Models and the Structured Singular Value (μ) Ifac Proceedings Volumes. 42: 375-380. DOI: 10.3182/20090712-4-Tr-2008.00059  0.475
2009 Díaz-Mendoza R, Gao J, Budman H. Methodology for Designing and Comparing Robust Linear versus Gain-Scheduled Model Predictive Controllers Industrial & Engineering Chemistry Research. 48: 9985-9998. DOI: 10.1021/Ie900309S  0.768
2008 Ricardez Sandoval L, Budman H, Douglas P. Simultaneous design and control of processes under uncertainty: A robust modelling approach Journal of Process Control. 18: 735-752. DOI: 10.1016/J.JPROCONT.2007.11.006  0.373
2008 Silveston P, Budman H, Jervis E. Forced modulation of biological processes: A review Chemical Engineering Science. 63: 5089-5105. DOI: 10.1016/J.Ces.2008.06.017  0.326
2008 Budman H, Silveston P. Control of periodically operated reactors Chemical Engineering Science. 63: 4942-4954. DOI: 10.1016/J.Ces.2007.09.051  0.416
2008 Madhuranthakam C, Elkamel A, Budman H. Optimal tuning of PID controllers for FOPTD, SOPTD and SOPTD with lead processes Chemical Engineering and Processing: Process Intensification. 47: 251-264. DOI: 10.1016/J.Cep.2006.11.013  0.415
2008 Chawankul N, Sandoval LR, Budman H, Douglas PL. Integration of Design and Control: A Robust Control Approach Using MPC The Canadian Journal of Chemical Engineering. 85: 433-446. DOI: 10.1002/Cjce.5450850406  0.382
2007 Gao J, Gorenflo VM, Scharer JM, Budman HM. Dynamic metabolic modeling for a MAB bioprocess. Biotechnology Progress. 23: 168-81. PMID 17269685 DOI: 10.1021/Bp060089Y  0.727
2006 Lou S, Duever T, Budman H. FAULT DETECTION USING PROJECTION PURSUIT REGRESSION (PPR): A CLASSIFICATION VERSUS AN ESTIMATION BASED APPROACH Ifac Proceedings Volumes. 39: 699-704. DOI: 10.3182/20060402-4-Br-2902.00699  0.303
2006 Huebsch J, Budman H. Tuning an adaptive controller using a robust control approach Ifac Proceedings Volumes. 39: 561-566. DOI: 10.3182/20060402-4-Br-2902.00561  0.467
2006 Gao J, Budman HM. DESIGN OF ROBUST GAIN-SCHEDULED MPC CONTROLLERS FOR NONLINEAR PROCESSES Ifac Proceedings Volumes. 39: 323-328. DOI: 10.3182/20060402-4-Br-2902.00323  0.765
2005 Gao J, Budman HM. Design of robust gain-scheduled PI controllers for nonlinear processes Journal of Process Control. 15: 807-817. DOI: 10.1016/J.Jprocont.2005.02.003  0.766
2005 Painter G, Budman H, Pritzker M. Prediction of oriented strand board properties from mat formation and compression operating conditions. Part 2: MOE prediction and process optimization Wood Science and Technology. 40: 291-307. DOI: 10.1007/S00226-005-0050-9  0.348
2005 Painter G, Budman H, Pritzker M. Prediction of oriented strand board properties from mat formation and compression operating conditions. Part 1. Horizontal density distribution and vertical density profile Wood Science and Technology. 40: 139-158. DOI: 10.1007/S00226-005-0044-7  0.351
2004 Gao J, Budman HM. Design of Sub-Optimal Robust Gain-Scheduled PI Controllers Ifac Proceedings Volumes. 37: 305-310. DOI: 10.1016/S1474-6670(17)38749-9  0.769
2004 Lou SJ, Duever T, Budman H. Optimal Experimental Design for Training of a Fault Detection Algorithm Ifac Proceedings Volumes. 37: 203-208. DOI: 10.1016/S1474-6670(17)38732-3  0.316
2003 Hagedorn A, Legge RL, Budman H. Evaluation of spectrofluorometry as a tool for estimation in fed-batch fermentations. Biotechnology and Bioengineering. 83: 104-11. PMID 12740937 DOI: 10.1002/Bit.10649  0.323
2002 Iguaz A, Budman H, Douglas PL. MODELLING AND CONTROL OF AN ALFALFA ROTARY DRYER Drying Technology. 20: 1869-1887. DOI: 10.1081/Drt-120015419  0.428
2002 James S, Legge R, Budman H. Comparative study of black-box and hybrid estimation methods in fed-batch fermentation Journal of Process Control. 12: 113-121. DOI: 10.1016/S0959-1524(00)00065-2  0.314
2001 Xiao K, Tzoganakis C, Budman H. Control of coating properties of LDPE through melt strength measurements Control Engineering Practice. 9: 357-366. DOI: 10.1016/S0967-0661(01)00008-9  0.375
2000 Knapp TD, Budman HM. Robust control design of non-linear processes using empirical state affine models International Journal of Control. 73: 1525-1535. DOI: 10.1080/00207170050197650  0.328
1999 Kavchak M, Budman H. Adaptive neural network structures for non-linear process estimation and control Computers & Chemical Engineering. 23: 1209-1228. DOI: 10.1016/S0098-1354(99)00287-2  0.421
1999 Zanovello R, Budman H. Model predictive control with soft constraints with application to lime kiln control Computers & Chemical Engineering. 23: 791-806. DOI: 10.1016/S0098-1354(99)00008-3  0.425
1998 Sanchez JL, Kamp B, Onysko KA, Budman H, Robinson CW. Double inhibition model for degradation of phenol by Pseudomonas putida Q5. Biotechnology and Bioengineering. 60: 560-7. PMID 10099464 DOI: 10.1002/(Sici)1097-0290(19981205)60:5<560::Aid-Bit6>3.0.Co;2-L  0.339
1997 Dickson SB, Tzoganakis C, Budman H. Reactive Extrusion of Polypropylene with Pulsed Peroxide Addition:  Process and Control Aspects Industrial & Engineering Chemistry Research. 36: 1067-1075. DOI: 10.1021/Ie960288U  0.39
1996 Doyle FJ, Budman HM, Morari M. “Linearizing” Controller Design for a Packed-Bed Reactor Using a Low-Order Wave Propagation Model Industrial & Engineering Chemistry Research. 35: 3567-3580. DOI: 10.1021/Ie9404083  0.37
1995 Webb CJ, Budman HM, Morari M. Identification of Uncertainty Bounds for Robust Control with Applications to a Fixed Bed Reactor Industrial & Engineering Chemistry Research. 34: 1743-1754. DOI: 10.1021/Ie00044A026  0.368
1992 Budman HM, Webb C, Holcomb TR, Morari M. Robust inferential control for a packed-bed reactor Industrial & Engineering Chemistry Research. 31: 1665-1679. DOI: 10.1021/Ie00007A013  0.306
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