Published December 1, 1993
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Model Predictive Control: Multivariable Control Technique of Choice in the 1990s?
- Creators
- Morari, M.
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.
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.Files
CDS93-024.pdf
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Additional details
- Eprint ID
- 28042
- Resolver ID
- CaltechCDSTR:1993.024
- Created
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2006-07-19Created from EPrint's datestamp field
- Updated
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2019-10-03Created from EPrint's last_modified field
- Caltech groups
- Control and Dynamical Systems Technical Reports