Title :
Adaptive Synchronization of Two Different Hyperchaotic Systems with Unknown Parameters
Author :
Xiao, Jiang-Wen ; Qin, Ning ; Huang, Yuehua ; Wang, Yan-Wu
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In this paper, an adaptive controller for the synchronization between the generalized Lorenz hyperchaos system and the hyperchaotic Ro¿ssler system is designed. The parameters of both drive and response systems are totally unknown. By utilizing the Lyapunov method and the Barbalat´s lemma, global complete synchronization of the two hyperchaotic systems are obtained. Numerical simulation is carried out to verify and illustrate the analytical result.
Keywords :
Lyapunov methods; adaptive control; chaos; numerical analysis; synchronisation; Barbalats lemma; Lyapunov method; adaptive controller; adaptive synchronization; generalized Lorenz hyperchaos system; global complete synchronization; hyperchaotic Ro¿ssler system; hyperchaotic systems; numerical simulation; Adaptive control; Additive noise; Artificial intelligence; Chaotic communication; Computational intelligence; Control systems; Cryptography; Design engineering; Mutual coupling; Programmable control; adaptive control; hyperchaotic system; synchronization;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.14
