Title :
Synchronization for Rössler Chaotic Systems Using Fuzzy Impulsive Controls
Author :
Nian Yi-bei ; Zheng Yong-ai
Author_Institution :
Yangzhou Univ., Yangzhou
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;
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
DOI :
10.1109/IIH-MSP.2007.286