Generalized Projective Synchronization for a class of Uncertain Chaotic Systems based on Parameters Identification
Robust adaptive control method is proposed for the generalized projective synchronization (GPS) and parameters identification of a class of uncertain chaotic systems with bounded time-varying unknown parameters. Based on Lyapunov stability theory, the robust adaptive control law without system parameters and the parameters identification scheme are proposed. The proposed scheme can successfully generalized projective synchronize the full states of the two chaotic systems by changing the scale factors, and identify the unknown parameters despite the noise of the parameters. Liu uncertain hyperchaotic system is used as an example to prove the presented method for GPS. Numerical simulations are presented to show the effectiveness and feasibility of the proposed method.
Generalized projective synchronization Robust adaptive control Parameters identification Liu hyperchaotic system
WANG Yu-ye XIAO Fu-hai CHEN Zhi-wei XU Hong-zhen
Information and Communication Engineering College, Harbin Engineering University, Harbin 150001, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
809-813
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）