A Fast and Efficient Computational Framework for Large-Scale Nonlinear Model Predictive Control
Victor M. Zavala and Lorenz T. Biegler, Department of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213 |
Integrating Feedback and Supervisory Control of Hybrid Nonlinear Processes with Uncertain Mode Transitions
Nael H. El-Farra, Department of Chemical Engineering and Materials Science, University of California, Davis, One Shields Avenue, Davis, CA 95616 |
Fault-Tolerant Output Feedback Control of Multivariable Nonlinear Processes
Panagiotis D. Christofides1, James F. Davis1, Adiwinata Gani1, Charles McFall1 and Prashant Mhaskar2, (1)Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095, (2)Department of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L7, Canada |
Decentralized Multi-Agent Control of Distributed Reactor Networks
M. Derya Tetiker1, Ali Cinar1, Fouad Teymour1 and Michael North2, (1)Department of Chemical and Environmental Engineering, Illinois Institiute of Technology, 10 West 33rd Street, Chicago, IL 60616, (2)Argonne National Laboratory, Argonne, IL 60439 |
Robust Model Predictive Control of Nonlinear Processes with State, Input and Rate Constraints
Prashant Mhaskar, Department of Chemical Engineering, McMaster University, Hamilton, ON L8S 4L7, Canada |
On the Role of Directionality in Analytical Model Predictive Control
Masoud Soroush, Chemical and Biological Engineering, Drexel University, Philadelphia, PA 19104, Felix S. Rantow, Drexel University, Department of Chemical Engineering, Philadelphia, PA 19104 and Yiannis Dimitratos, Engineering, Process Dynamics and Control, DuPont, 1007 Market Street, Wilmington, DE 19898 |
Multi-Component Batch Distillation Control
Jim Riggs, Texas Tech University, Dept of Chemcial Engineering, Lubbock, TX 79410 and Hongbin Dong, Chemical Engineering, Texas Tech University, Dept of Chemcial Engineering, Lubbock, TX 79410 |
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