Year: 2009
Author: Junling Li, Shugong Zhang
Communications in Mathematical Research , Vol. 25 (2009), Iss. 4 : pp. 299–308
Abstract
In this paper the feasibility and stability of open-loop min-max model predictive control (OL-MMMPC) for systems with additive bounded uncertainties are considered. It is found that the OL-MMMPC may be infeasible and unstable if it is initially feasible. A sufficient condition for feasibility and stability of the OL-MMMPC is presented. Then an improved OL-MMMPC algorithm is proposed, which guarantees the robust stability of the closed-loop system once it is initially feasible. The effectiveness of this algorithm is illustrated by a simulation example.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2009-CMR-19349
Communications in Mathematical Research , Vol. 25 (2009), Iss. 4 : pp. 299–308
Published online: 2009-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 10
Keywords: additive bounded uncertainty predictive control feasibility stability.