Output feedback controller design of Takagi-Sugeno fuzzy systems

Authors:
Z.-H. Xiu;W. Wang
Affiliations:
Research Center of Information and Control, Dalian University of Technology, Dalian, China and Department of Command Control, Dalian Naval Academy, Dalian, China;Research Center of Information and Control, Dalian University of Technology, Dalian, China
Venue:
International Journal of Systems Science
Year:
2007

Citing 12
Cited 0

Stability analysis and design of fuzzy control systems

Fuzzy Sets and Systems
Modern control engineering (3rd ed.)

Modern control engineering (3rd ed.)
Output stabilization of Takagi-Sugeno fuzzy systems

Fuzzy Sets and Systems
Design of output feedback controllers for Takagi—Sugeno fuzzy systems

Fuzzy Sets and Systems - Special issue on formal methods for fuzzy modeling and control
LMI-based design of stabilizing fuzzy controllers for nonlinear systems described by Takagi-Sugeno fuzzy model

Fuzzy Sets and Systems
Linear Control System Analysis and Design: Conventional and Modern

Linear Control System Analysis and Design: Conventional and Modern
Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: quadratic stabilizability, H∞ control theory, and linear matrix inequalities

IEEE Transactions on Fuzzy Systems
An approach to fuzzy control of nonlinear systems: stability and design issues

IEEE Transactions on Fuzzy Systems
Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs

IEEE Transactions on Fuzzy Systems
New approaches to relaxed quadratic stability condition of fuzzy control systems

IEEE Transactions on Fuzzy Systems
Fuzzy gain scheduling: controller and observer design based on Lyapunov method and convex optimization

IEEE Transactions on Fuzzy Systems
On relaxed LMI-based designs for fuzzy regulators and fuzzy observers

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents new systematic design methods of two types of output feedback controllers for Takagi-Sugeno (T-S) fuzzy systems, one of which is constructed with a fuzzy regulator and a fuzzy observer, while the other is an output direct feedback controller. In order to use the structural information in the rule base to decrease the conservatism of the stability analysis, the standard fuzzy partition (SFP) is employed to the premise variables of fuzzy systems. New stability conditions are obtained by relaxing the stability conditions derived in previous papers. The concept of parallel distributed compensation (PDC) is employed to design fuzzy regulators and fuzzy observers from the T-S fuzzy models. New stability analysis and design methods of output direct feedback controllers are also presented. The output feedback controllers design and simulation results for a nonlinear mass-spring-damper mechanical system show that these methods are effective.