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		Endong LIU,Yuanwei JING,Siying ZHANG.[en_title][J].Control Theory and Technology,2005,3(2):110~116.[Copy]

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EndongLIU,YuanweiJING,SiyingZHANG
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Received:September 09, 2004Revised:May 06, 2005

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Design and performance analysis of tracking controller for uncertain nonlinear composite system using neural networks

Endong LIU, Yuanwei JING, Siying ZHANG

(School of Information Sciences & Engineering,Northeastern University ,Shenyang Liaoning 110004,China;The Hot Rolled Strip Plant,Angang New Iron and Steel Company,Anshan Liaoning 1 14006,China)

Abstract:

Based on high order dyna mi c neural network, paper presents the tracking problem for uncertain nonlinear composite system,which contain s external disturbance,whose nonlinear ities are assumed to be unknown.A smooth contr oller is designed to guarantee a uniform ultimate boundedness property for the tracking error and a ll other signals in the closed loop.Certain meas ures are utilized to test its performance.No a priori knowledge of an upper bound on the “ optimal" weight and modeling error is required;the weights of neural networks are updated on-line.N umerical simulations performed on a simple example i llustrate and clarify the approach.

Key words: Uncertain nonlinear composite syst em Dynamic neural networks Adaptive control Performan ce