Stability and Stabilization Analysis of Positive Polynomial Fuzzy Systems With Time Delay Considering Piecewise Membership Functions

被引:51
作者
Li, Xiaomiao [1 ]
Lam, Hak Keung [1 ,2 ]
Liu, Fucai [1 ]
Zhao, Xudong [3 ,4 ]
机构
[1] Yanshan Univ, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao 066004, Peoples R China
[2] Kings Coll London, Dept Informat, London WC2R 2LC, England
[3] Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China
[4] Dalian Univ Technol, Dalian 116024, Peoples R China
关键词
Piecewise-linear membership functions (PLMFs); positive polynomial fuzzy-model-based (PPFMB) control systems with time delay; stability analysis; sum of squares (SOS); SWITCHED LINEAR-SYSTEMS; NONLINEAR-SYSTEMS; MODEL; SUM;
D O I
10.1109/TFUZZ.2016.2593494
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is concerned with the stability analysis of positive polynomial-fuzzy-model-based control systems with time delay. Each of the polynomial fuzzy model and the polynomial fuzzy controller is allowed to have its own set of premise membership functions, which can improve the design and realization flexibility. Conditions showing the positivity of the system are first obtained. Then, to deal with the difficulty resulting from the mismatched premise membership functions to the stability/stabilization analysis, approximated membership functions representing the original ones are constructed, and the information of membership functions is brought into the stability conditions. This way, the stability conditions can be relaxed, since the extra knowledge on the system is considered. Stability conditions are obtained by using the sum-of squares approach based on the Lyapunov stability theory. A simulation example is provided to verify the effectiveness of this method.
引用
收藏
页码:958 / 971
页数:14
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