Affine TS-Model-Based Optimal Fuzzy Regulating Control

Author

Wu, Shinq-Jen ; Wu, Cheng-Tao

Author_Institution

Dept. of Electr. Eng., Da-Yeh Univ., Chang-Hwa

fYear

2006

fDate

7-9 June 2006

Firstpage

1

Lastpage

5

Abstract

Affine T-S fuzzy system is much preferred than linear type in providing one more adjustable parameter for computation-intelligent (neural-fuzzy-evolution) modelling of mode-free physical system or highly nonlinear and complex model-based system. However, few researches are devoted in intrinsic analysis of affine-type fuzzy system and in developing controllers to regulate affine TS-based nonlinear systems. In this paper, the affine-type global optimal fuzzy control design scheme is theoretically derived. The generated closed-loop fuzzy systems are demonstrated to be stable. The performance of the proposed fuzzy controller is demonstrated via two nonlinear systems. Simulation results show the proposed controller can stabilize the affine fuzzy system in very short time

Keywords

closed loop systems; control system synthesis; fuzzy control; fuzzy systems; nonlinear control systems; optimal control; stability; affine T-S fuzzy system; closed-loop fuzzy system; nonlinear system; optimal fuzzy control design; optimal fuzzy regulating control; stability; Control systems; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Mathematical model; Nonlinear control systems; Nonlinear systems; Optimal control; Performance analysis; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2006 IEEE Conference on

Conference_Location

Bangkok

Print_ISBN

1-4244-0023-6

Type

conf

DOI

10.1109/ICCIS.2006.252238

Filename

4017797