Xia, Y.Yang, H.Shi, P.2013-07-152013-07-152010IEEE Transactions on Fuzzy Systems, 2010; 18(2):429-4361063-67061941-0034http://hdl.handle.net/2440/78776The 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.en© 2010 IEEEDiscrete-time systemlinear-matrix inequality (LMI)model-predictive control (MPC)parallel-distributed compensation (PDC)Takagi–Sugeno (T–S) fuzzy system.Journal article002012801310.1109/TFUZZ.2010.20434410002760974000162-s2.0-7795063095919790Shi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]