Interval Type-2 Takagi-Sugeno Fuzzy Model Based Control Design For Nonlinear Stochastic System

被引：0
|
作者：
Maalej, Imen [1 ]
Abid, Donia Ben Halima [1 ]
Rekik, Chokri [1 ]
机构：
[1] Univ Sfax, Natl Engn Sch Sfax, Control & Energy Management Lab, Sfax, Tunisia
来源：
2017 18TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA) | 2017年
关键词：
IT2 TS fuzzy model; IT2 fuzzy controller; LMIs;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper the problem of the fuzzy control nonlinear stochastic system is addressed. Firstly, an Interval Type-2 Takagi Sugeno fuzzy model, that represents an extended version of the Type-1 Takagi Sugeno fuzzy logic system, was proposed for the purpose of the description of the nonlinearity. Next,refereing to the parallel distributed compensation's concept (PDC), an Interval Type-2 fuzzy controller is developed. The design of the above controller is performed with a manner ensuring the closed loop stability. Stability conditions of the Interval Type-2 Takagi Sugeno fuzzy model based (IT2 TS FMB) control system are presented using the linear matrix inequalities (LMIs). In order to evaluate the performance of the suggested design method, simulation results performed on benchmark example are finally given.
引用
收藏
页码：104 / 108
页数：5
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