State feedback controller design via takagi-sugeno fuzzy model

Content Provider	CiteSeerX
Author	Khaber, Farid Hamzaoui, Abdelaziz Zehar, Khaled
Abstract	Abstract:- In this paper, we introduce a robust state feedback controller design using Linear Matrix Inequalities (LMIs) and guaranteed cost approach for Takagi-Sugeno fuzzy systems. The purpose on this work is to establish a systematic method to design controllers for a class of uncertain linear and non linear systems. Our approach utilizes a certain type of fuzzy systems that are based on Takagi-Sugeno fuzzy models to approximate nonlinear systems. We use a robust control methodology to design controllers. This method not only guarantees stability, but also minimizes an upper bound on a linear quadratic performance measure. A simulation example is presented to show the effectiveness of this method.
File Format	PDF
Journal	LMI approach, International Journal of Computational Intelligence
Language	English
Access Restriction	Open
Subject Keyword	Takagi-sugeno Fuzzy Model State Feedback Controller Design Takagi-sugeno Fuzzy System Linear Matrix Inequality Robust State Feedback Controller Design Systematic Method Certain Type Linear Quadratic Performance Measure Cost Approach Fuzzy System Non Linear System Nonlinear System Simulation Example Robust Control Methodology Upper Bound
Content Type	Text
Resource Type	Article