Output feedback fuzzy control design of nonlinear MIMO system: An LMI approach

被引：0
|
作者：
Hadi, Ahmed Abdel [1 ]
Hassan, Mohamed I. [1 ]
Elshafei, Abdel Latif [2 ]
机构：
[1] Ain Shams Univ, Fac Engn, Engn Phys & Math Dept, Cairo, Egypt
[2] Cairo Univ, Fac Engn, Engn Phys & Math Dept, Cairo, Egypt
来源：
2007 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING & SYSTEMS: ICCES '07 | 2007年
关键词：
D O I：
暂无
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 presents an output feedback controller design method for continuous time Takagi-Sugeno (T-S) fuzzy systems, using a fuzzy Lyapunov function. The proposed output feedback fuzzy controller is made up of a fuzzy state feedback controller based on a fuzzy Lyapunov functions and fuzzy observer based on a common quadratic Lyapunov function. Each of the observer and controller is designed separately in a two-step procedure. It is shown that the state feedback control laws and observer gains can be obtained by solving a set of Linear Matrix Inequalities (LMI) that is numerically tractable with commercially available software. A nonlinear MIMO simulation example is given to demonstrate the advantage of the proposed method.
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页码：44 / +
页数：2
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