Synchronization for Rössler Chaotic Systems Using Fuzzy Impulsive Controls

Author

Nian Yi-bei ; Zheng Yong-ai

Author_Institution

Yangzhou Univ., Yangzhou

Volume

2

fYear

2007

fDate

26-28 Nov. 2007

Firstpage

179

Lastpage

182

Abstract

Based on impulsive control methods and fuzzy control technology, synchronization of Rossler chaotic systems is studied and a new fuzzy impulsive control method is proposed. TS(Takagi-Sugeno) fuzzy model is used to model the Rossler chaotic system. Fuzzy impulsive controller is designed based on the theory of impulsive differential equation. Theoretic analysis gives the synchronization conditions of Rossler chaotic systems. The proposed method makes the chaotic systems keep synchronous well. Finally, numerical simulations are carried out to show effectiveness of this methods.

Keywords

chaos; differential equations; fuzzy control; nonlinear control systems; synchronisation; Rossler chaotic systems; Takagi-Sugeno fuzzy model; fuzzy control; fuzzy impulsive control; impulsive differential equation; synchronization; Artificial intelligence; Chaos; Chaotic communication; Communication system control; Control systems; Differential equations; Fuzzy control; Fuzzy sets; Fuzzy systems; Power engineering and energy;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-0-7695-2994-1

Type

conf

DOI

10.1109/IIH-MSP.2007.286

Filename

4457681