Paper Info
Title
Robust stability of fuzzy feedback linearization control system for Takagi-Sugeno fuzzy model
Abstract
In many practical applications, dynamic systems to be controlled have uncertain parameters. To cope with the parametric uncertainties, analysis and design methods of a robust control scheme are proposed using the feedback linearization of a class of nonlinear systems represented by Takagi-Sugeno fuzzy model. A fuzzy feedback linearization controller is proposed to stabilize the nominal fuzzy system, and a sufficient condition is derived to guarantee the stability of the closed-loop system with bounded parameter uncertainties. For the systems with bounded uncertainty, we can design a robust fuzzy controller by choosing the control parameters satisfying the robust stability condition. Because the design scheme is not a trial and error manner, it provides us freedom of selecting the control parameters showing the desired characteristics. The design methodologies are illustrated by examples and the simulation results are given to verify the validity and effectiveness of the proposed control scheme.
Year
Venue
Keywords
2001
Journal of Intelligent and Fuzzy Systems
robust control scheme,fuzzy feedback linearization controller,Takagi-Sugeno fuzzy model,design scheme,robust stability,nominal fuzzy system,control parameter,design methodology,proposed control scheme,robust fuzzy controller,design method
DocType
Volume
Issue
Journal
10
2
ISSN
Citations 
PageRank 
1064-1246
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Young-Wan Cho1817.40
Sungryul Lee2252.07
Kyung-Ok Park300.68
Mignon Park475970.43