Adaptive synchronization of chaotic systems via T-S fuzzy model

Author

Wan, Zhang-Lin ; Hou, Yi-You ; Yan, Jun-Juh ; Liao, Teh-Lu

Author_Institution

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

fYear

2008

fDate

25-27 June 2008

Firstpage

313

Lastpage

317

Abstract

This paper is concerned with the adaptive synchronization problem of chaotic systems with time delay. The Takagi and Sugeno (T-S) fuzzy model is utilized to represent the chaotic systems. Based on parallel distributed compensation (PDC) scheme and Lyapunov stability theorem, an adaptive controller is proposed to synchronize the master-slave chaotic systems. Numerical simulations are given to demonstrate the effectiveness of the proposed method.

Keywords

Lyapunov methods; adaptive control; chaos; fuzzy systems; nonlinear control systems; numerical analysis; synchronisation; Lyapunov stability theorem; T-S fuzzy model; adaptive synchronization problem; master-slave chaotic systems; numerical simulations; parallel distributed compensation scheme; Adaptive control; Chaos; Chaotic communication; Control systems; Delay effects; Fuzzy control; Fuzzy systems; Master-slave; Programmable control; Symmetric matrices; Adaptive control; Chaotic systems; Synchronization; Takagi and Sugeno (T-S) fuzzy model; parallel distributed compensation (PDC);

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.2008.5045981

Filename

5045981