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论文类型：期刊论文

发表时间：2008-07-01

发表刊物：ASIAN JOURNAL OF CONTROL

收录刊物：SCIE

卷号：10

期号：4

页面范围：470-477

ISSN号：1561-8625

关键字：Legendre polynomials; neural network; Lyapunov stability; chaos synchronization

摘要：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.