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|Title:||Constrained infinite-horizon model predictive control for fuzzy-discrete-time systems|
|Citation:||IEEE Transactions on Fuzzy Systems, 2010; 18(2):429-436|
|Publisher:||IEEE-Inst Electrical Electronics Engineers Inc|
|Yuanqing Xia, Hongjiu Yang, Peng Shi, and Mengyin Fu|
|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.|
linear-matrix inequality (LMI)
model-predictive control (MPC)
parallel-distributed compensation (PDC)
Takagi–Sugeno (T–S) fuzzy system.
|Rights:||© 2010 IEEE|
|Appears in Collections:||Aurora harvest 4|
Electrical and Electronic Engineering publications
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