Morari, M. (1993) Model Predictive Control: Multivariable Control Technique of Choice in the 1990s? California Institute of Technology , Pasadena, CA. (Unpublished) https://resolver.caltech.edu/CaltechCDSTR:1993.024
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Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechCDSTR:1993.024
Abstract
The state space and input/output formulations of model predictive control are compared and preference is given to the former because of the industrial interest in multivariable constrained problems. Recently, by abandoning the assumption of a finite output horizon several researchers have derived powerful stability results for linear and nonlinear systems with and without constraints, for the nominal case and in the presence of model uncertainty. Some of these results are reviewed. Optimistic speculations about the future of MPC conclude the paper.
Item Type: | Report or Paper (Technical Report) |
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Additional Information: | Financial support from the National Science Foundation is gratefully acknowledged. I would also like to thank A1ex Zheng for his help in preparing this paper. |
Group: | Control and Dynamical Systems Technical Reports |
Record Number: | CaltechCDSTR:1993.024 |
Persistent URL: | https://resolver.caltech.edu/CaltechCDSTR:1993.024 |
Usage Policy: | You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format. |
ID Code: | 28042 |
Collection: | CaltechCDSTR |
Deposited By: | Imported from CaltechCDSTR |
Deposited On: | 19 Jul 2006 |
Last Modified: | 03 Oct 2019 03:28 |
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