Design of TSK fuzzy controller based on TSK fuzzy model using pole placement

Author

Kang, Geuntaek ; Lee, Wonchang ; Sugeno, Michio

Author_Institution

Pukyong Nat. Univ., Pusan, South Korea

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

246

Abstract

This paper presents a Takagi-Sugeno-Kang (TSK) fuzzy controller based on a TSK fuzzy model consisting of TSK fuzzy rules of which consequents are a state equation and have a constant term. The proposed controller consists of TSK fuzzy rules and guarantees the stability of the closed loop system. The pole placement and the integral control developed for linear control systems are used for the TSK fuzzy controller. The behaviour of the closed loop system controlled by the suggested fuzzy controller is the same as the linear system of which state transition matrix is the desired one. This paper deals with both the continuous systems and the discrete systems

Keywords

closed loop systems; control system synthesis; fuzzy control; pole assignment; stability; TSK fuzzy controller design; TSK fuzzy model; TSK fuzzy rules; Takagi-Sugeno-Kang fuzzy controller; consequents; continuous systems; discrete systems; guaranteed closed-loop system stability; integral control; linear control systems; pole placement; state equation; state transition matrix; Closed loop systems; Continuous time systems; Control systems; Fuzzy control; Fuzzy systems; Integral equations; Linear systems; Stability; State feedback; Takagi-Sugeno-Kang model;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687492

Filename

687492