Sliding mode synchronization controller design with neural network for uncertain chaotic systems

作     者：Chen Mou Jiang Chang-sheng Jiang Bin Wu Qing-xian 

作者机构：Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing 210016 Peoples R China 

出 版 物：《CHAOS SOLITONS & FRACTALS》 (浑沌，孤立子与分形)

年 卷 期：2009年第39卷第4期

页      面：1856-1863页

核心收录：

学科分类：07[理学] 0701[理学-数学] 0702[理学-物理学] 070101[理学-基础数学] 

主　　题：PROGRAMMABLE controllers SLIDING mode control SYNCHRONIZATION NEURAL networks (Computer science) CHAOS theory NONLINEAR theories STOCHASTIC convergence DESIGN & construction 

摘      要：A sliding mode synchronization controller is presented with RBF neural network for two chaotic systems in this paper. The compound disturbance of the synchronization error system consists of nonlinear uncertainties and exterior disturbances of chaotic systems. Based on RBF neural networks, a compound disturbance observer is proposed and the update law of parameters is given to monitor the compound disturbance. The synchronization controller is given based on the output of the compound disturbance observer. The designed controller can make the synchronization error convergent to zero and overcome the disruption of the uncertainty and the exterior disturbance of the system. Finally, an example is given to demonstrate the availability of the proposed synchronization control method. (C) 2007 Elsevier Ltd. All rights reserved.