Title: Adaptive synchronization of chaotic systems with unknown parameters via new backstepping strategy
Authors: Li, Shih-Yu
Yang, Cheng-Hsiung
Lin, Chin-Teng
Ko, Li-Wei
Chiu, Tien-Ting
Department of Biological Science and Technology
Institute of Electrical and Control Engineering
Brain Research Center
Keywords: BGYC;Synchronization;Chaotic system
Issue Date: 1-Nov-2012
Abstract: In this paper, a new effective approach-backstepping with Ge-Yao-Chen (GYC) partial region stability theory (called BGYC in this article) is proposed to applied to adaptive synchronization. Backstepping design is a recursive procedure that combines the choice of a Lyapunov function with the design of a controller, and it presents a systematic procedure for selecting a proper controller in chaos synchronization. We further combine the systematic backstepping design and GYC partial region stability theory in this article, Lyapunov function can be chosen as a simple linear homogeneous function of states, and the controllers and the update laws of parameters shall be much simpler. Further, it also introduces less simulation error-the numerical simulation results show that the states errors and parametric errors approach to zero much more exactly and efficiently, which are compared with the original one. Two cases are presented in the simulation results to show the effectiveness and feasibility of our new strategy.
URI: http://dx.doi.org/10.1007/s11071-012-0605-x
ISSN: 0924-090X
DOI: 10.1007/s11071-012-0605-x
Volume: 70
Issue: 3
Begin Page: 2129
End Page: 2143
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