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Indexed by:期刊论文

Date of Publication:2008-07-01

Journal:ASIAN JOURNAL OF CONTROL

Included Journals:SCIE

Volume:10

Issue:4

Page Number:470-477

ISSN No.:1561-8625

Key Words:Legendre polynomials; neural network; Lyapunov stability; chaos synchronization

Abstract:Chaos synchronization problems are addressed in this paper. For chaotic synchronization systems with uncertainties and external disturbances, an orthogonal function neural network is used to achieve the synchronization of chaotic systems. Legendre orthogonal polynomials are selected as the basis functions of the orthogonal function neural network. An adaptive learning law is derived to guarantee that the tracking errors are bounded using Lyapunov stability theory. Simulation results show the efficiency of the proposed scheme.