| Year |
Citation |
Score |
| 2016 |
Bunn JK, Voepel RZ, Wang Z, Gatzke EP, Lauterbach JA, Hattrick-Simpers JR. Development of an Optimization Procedure for Magnetron-Sputtered Thin Films to Facilitate Combinatorial Materials Research Industrial and Engineering Chemistry Research. 55: 1236-1242. DOI: 10.1021/Acs.Iecr.5B04196 |
0.322 |
|
| 2010 |
Aliyev TL, Gatzke EP. Prioritized constraint handling NMPC using Volterra series models Optimal Control Applications and Methods. 31: 415-432. DOI: 10.1002/Oca.958 |
0.745 |
|
| 2008 |
Polisetty PK, Gatzke EP, Voit EO. Yield optimization of regulated metabolic systems using deterministic branch-and-reduce methods. Biotechnology and Bioengineering. 99: 1154-69. PMID 18064703 DOI: 10.1002/Bit.21679 |
0.775 |
|
| 2007 |
Stamps AT, Santhanagopalan S, Gatzke EP. Using Piecewise Polynomials to Model Open-Circuit Potential Data Journal of the Electrochemical Society. 154. DOI: 10.1149/1.2401035 |
0.767 |
|
| 2007 |
Gantt JA, Rochelle KA, Gatzke EP. Type 1 diabetic patient insulin delivery using asymmetric PI control Chemical Engineering Communications. 194: 586-602. DOI: 10.1080/00986440600992651 |
0.763 |
|
| 2007 |
Gantt JA, Palathra T, Gatzke EP. Analysis of the multidimensional behavior of granulation Journal of Materials Processing Technology. 183: 140-147. DOI: 10.1016/J.Jmatprotec.2006.09.019 |
0.745 |
|
| 2007 |
Long CE, Gatzke EP. Hard Constraints for Prioritized Objective Nonlinear MPC Lecture Notes in Control and Information Sciences. 217-228. DOI: 10.1007/978-3-540-72699-9_17 |
0.419 |
|
| 2007 |
Long CE, Polisetty PK, Gatzke EP. Deterministic global optimization for nonlinear model predictive control of hybrid dynamic systems International Journal of Robust and Nonlinear Control. 17: 1232-1250. DOI: 10.1002/Rnc.1105 |
0.8 |
|
| 2006 |
Polisetty PK, Voit EO, Gatzke EP. Identification of metabolic system parameters using global optimization methods. Theoretical Biology & Medical Modelling. 3: 4. PMID 16441881 DOI: 10.1186/1742-4682-3-4 |
0.767 |
|
| 2006 |
Gantt JA, Gatzke EP. Kinetic theory of granular flow limitations for modeling high-shear mixing Industrial and Engineering Chemistry Research. 45: 6721-6727. DOI: 10.1021/Ie051267F |
0.761 |
|
| 2006 |
Gantt JA, Cameron IT, Litster JD, Gatzke EP. Determination of coalescence kernels for high-shear granulation using DEM simulations Powder Technology. 170: 53-63. DOI: 10.1016/J.Powtec.2006.08.002 |
0.776 |
|
| 2006 |
Long CE, Polisetty PK, Gatzke EP. Nonlinear model predictive control using deterministic global optimization Journal of Process Control. 16: 635-643. DOI: 10.1016/J.Jprocont.2005.11.001 |
0.783 |
|
| 2006 |
Stamps AT, Gatzke EP. Dynamic modeling of a methanol reformer-PEMFC stack system for analysis and design Journal of Power Sources. 161: 356-370. DOI: 10.1016/J.Jpowsour.2006.04.080 |
0.774 |
|
| 2006 |
Gantt JA, Gatzke EP. A stochastic technique for multidimensional granulation modeling Aiche Journal. 52: 3067-3077. DOI: 10.1002/Aic.10911 |
0.789 |
|
| 2005 |
Long CE, Gatzke EP. Model Predictive Control Algorithm for Prioritized Objective Inferential Control of Unmeasured States Using Propositional Logic Industrial & Engineering Chemistry Research. 44: 3575-3584. DOI: 10.1021/Ie049287P |
0.387 |
|
| 2005 |
Gantt JA, Gatzke EP. High-shear granulation modeling using a discrete element simulation approach Powder Technology. 156: 195-212. DOI: 10.1016/J.Powtec.2005.04.012 |
0.787 |
|
| 2005 |
Stamps AT, Holland CE, White RE, Gatzke EP. Analysis of capacity fade in a lithium ion battery Journal of Power Sources. 150: 229-239. DOI: 10.1016/J.Jpowsour.2005.02.033 |
0.764 |
|
| 2004 |
Voit EO, Gatzke EP. Modeling of Metabolic Systems Using Global Optimization Methods Ifac Proceedings Volumes. 37: 929-934. DOI: 10.1016/S1474-6670(17)38853-5 |
0.488 |
|
| 2004 |
Long C, Polisetty P, Gatzke E. Globally Optimal Nonlinear Model Predictive Control Ifac Proceedings Volumes. 37: 83-88. DOI: 10.1016/S1474-6670(17)31798-6 |
0.786 |
|
| 2004 |
Kesavan P, Allgor RJ, Gatzke EP, Barton PI. Outer approximation algorithms for separable nonconvex mixed-integer nonlinear programs Mathematical Programming. 100: 517-535. DOI: 10.1007/S10107-004-0503-1 |
0.577 |
|
| 2002 |
Gatzke EP, Tolsma JE, Barton PI. Optimization and Engineering. 3: 305-326. DOI: 10.1023/A:1021095211251 |
0.558 |
|
| 2002 |
Gatzke EP, Doyle FJ. Use of multiple models and qualitative knowledge for on-line moving horizon disturbance estimation and fault diagnosis Journal of Process Control. 12: 339-352. DOI: 10.1016/S0959-1524(01)00037-3 |
0.558 |
|
| 2001 |
Vadigepalli R, Gatzke EP, Doyle FJ. Robust Control of a Multivariable Experimental Four-Tank System Industrial & Engineering Chemistry Research. 40: 1916-1927. DOI: 10.1021/Ie000381P |
0.677 |
|
| 2001 |
Gatzke EP, Doyle FJ. Moving horizon control and estimation of a hybrid process Ifac Proceedings Volumes. 34: 597-602. DOI: 10.1016/S1474-6670(17)33889-2 |
0.544 |
|
| 2001 |
Dufour P, Bhartiya S, English TJ, Gatzke EP, Dhurjati PS, Doyle FJ. Fault Detection in a Continuous Pulp Digester Ifac Proceedings Volumes. 34: 93-98. DOI: 10.1016/S1474-6670(17)33574-7 |
0.661 |
|
| 2001 |
Gatzke EP, Doyle FJ. Model predictive control of a granulation system using soft output constraints and prioritized control objectives Powder Technology. 121: 149-158. DOI: 10.1016/S0032-5910(01)00334-5 |
0.523 |
|
| 2000 |
Doyle F, Meadows E, Gatzke E, Vadigepalli R, Mahadevan K, Whitmyre G, Troutman K, Stoole G, Rickards P. Innovative Control Education Using a 4-Tank Experiment and The WWW Ifac Proceedings Volumes. 33: 325-330. DOI: 10.1016/S1474-6670(17)37883-7 |
0.651 |
|
| 2000 |
Gatzke EP, Meadows ES, Wang C, Doyle FJ. Model based control of a four-tank system Computers & Chemical Engineering. 24: 1503-1509. DOI: 10.1016/S0098-1354(00)00555-X |
0.56 |
|
| 1999 |
Gatzke EP, Doyle FJ. Multiple Model Approach for CSTR Control Ifac Proceedings Volumes. 32: 6950-6955. DOI: 10.1016/S1474-6670(17)57186-4 |
0.589 |
|
| 1998 |
Doyle FJ, Gatzke EP, Parker RS. Practical case studies for undergraduate process dynamics and control using process control modules Computer Applications in Engineering Education. 6: 181-191. DOI: 10.1002/(Sici)1099-0542(1998)6:3<181::Aid-Cae7>3.0.Co;2-9 |
0.636 |
|
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