Constrained infinite-horizon model predictive control for fuzzy-discrete-time systems
Date
2010
Authors
Xia, Y.
Yang, H.
Shi, P.
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Journal article
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IEEE Transactions on Fuzzy Systems, 2010; 18(2):429-436
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Yuanqing Xia, Hongjiu Yang, Peng Shi, and Mengyin Fu
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Abstract
The problem of constrained infinite-horizon model-predictive control for fuzzy-discrete systems is considered in this paper. New sufficient conditions are proposed in terms of linear-matrix inequalities. Based on the optimal solutions of these sufficient conditions at each sampling instant, we design both parallel-distributed compensation and nonparallel-distributed compensation state-feedback controllers, which can guarantee that the resulting closed-loop fuzzy-discrete system is asymptotically stable. In addition, the fuzzy-feedback controllers meet the specifications for the fuzzy-discrete systems with both input and output constraints. Numerical examples are presented to demonstrate the effectiveness of the proposed techniques.
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© 2010 IEEE