Chaos suppression of generalized Lorenz system: Adaptive fuzzy sliding mode control approach

Author

Chen, Chang-Kuo ; Yan, Jun-Juh ; Liao, Teh-Lu ; Hung, Meei-Ling

Author_Institution

Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan

fYear

2008

fDate

25-27 June 2008

Firstpage

318

Lastpage

321

Abstract

This study presents the chaos suppression for generalized Lorenz system via an adaptive fuzzy sliding mode controller (AFSMC). The proposed scheme can asymptotically drive the state trajectory of the generalized Lorenz system with unknown parameter to a desired switching surface and ensure the stability of the closed-loop system. In addition, the control signal is chattering free by the AFSMC reaching law that is inferred a set of fuzzy logic rules with output of sliding mode controller (SMC). A numerical simulation is included to illustrate the feasibility and effectiveness of the proposed scheme.

Keywords

adaptive control; closed loop systems; fuzzy control; nonlinear control systems; numerical analysis; stability; variable structure systems; adaptive fuzzy sliding mode control approach; chaos suppression; closed-loop system stability; fuzzy logic rules; generalized Lorenz system; numerical simulation; Adaptive control; Adaptive systems; Asymptotic stability; Chaos; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Programmable control; Sliding mode control; adaptive fuzzy sliding mode control; generalized Lorenz system; numerical simulations;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing in Industrial Applications, 2008. SMCia '08. IEEE Conference on

Conference_Location

Muroran

Print_ISBN

978-1-4244-3782-5

Electronic_ISBN

978-4-9904-2590-6

Type

conf

DOI

10.1109/SMCIA.2008.5045982

Filename

5045982