Continuous Takagi-Sugeno's models: Reduction of the number of LMI conditions in various fuzzy control design technics

被引:112
作者
Delmotte, F. [1 ]
Guerra, T. M.
Ksantini, M.
机构
[1] Univ Valenciennes & Hainaut Cambresis, CNRS, LAMIH, UMR 8530, F-59313 Valenciennes 9, France
[2] Inst Preparatoire Etud Ingn Sfax, Dept Math & Comp Sci, Sfax 3038, Tunisia
关键词
fuzzy models; linear matrix inequality (LMI); Lyapunov approach; nonlinear control; robust control;
D O I
10.1109/TFUZZ.2006.889829
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fuzzy models of the Takagi-Sugeno type enable representation of a wide class of nonlinear models. Conditions about their stabilization can be derived systematically. Usually these conditions are written as linear matrix inequality (LMI) problems. In this paper, we use a collection of properties concerning matrices to extend the area of solutions involving the feedback control laws. We will work out with continuous fuzzy models, and supply results about the stabilization, the regulator problem, and also H-infinity control. Solutions based on a reduced number of decision variables, implying a reduced number of LMI conditions, are also proposed. We show that a good tradeoff can been obtained.
引用
收藏
页码:426 / 438
页数:13
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