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Robust Stability of Constrained Model Predictive Control

Zheng, Zhi Q. and Morari, Manfred (1993) Robust Stability of Constrained Model Predictive Control. In: Proceedings of the 1993 American Control Conference. Proceedings of the American Control Conference. IEEE , New York, pp. 379-383. ISBN 0-7803-0860-3.

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A new design technique for a robust model predictive controller is proposed using an uncertainty description expressed in the time-domain. Robust stability of the resulting closed-loop system is guaranteed for a set of Finite Impulse Response (FIR) models. Both necessary and sufficient conditions for asymptotic stability are stated. If the uncertainty is described as lower and upper bounds on impulse response coefficients, then the resulting optimization problem can be cast as a linear program of moderate size.

Item Type:Book Section
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Additional Information:© 1993 IEEE. Date of Conference: 2-4 June 1993. Partial support from the National Science Foundation and the Department of Energy is gratefully acknowledged.
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Department of Energy (DOE)UNSPECIFIED
Series Name:Proceedings of the American Control Conference
Record Number:CaltechAUTHORS:20120717-132756194
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Official Citation:Zheng, Zhi Q.; Morari, Manfred; , "Robust Stability of Constrained Model Predictive Control," American Control Conference, 1993 , vol., no., pp.379-383, 2-4 June 1993
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:32519
Deposited On:18 Jul 2012 14:37
Last Modified:03 Oct 2019 04:01

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