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		Yan ZHANG,Zengqiang CHEN,Peng YANG,Zhuzhi YUAN.[en_title][J].Control Theory and Technology,2005,3(3):218~222.[Copy]

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YanZHANG,ZengqiangCHEN,PengYANG,ZhuzhiYUAN
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Received:November 23, 2004Revised:August 25, 2005

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Nonlinear system compound inverse control method

Yan ZHANG, Zengqiang CHEN, Peng YANG, Zhuzhi YUAN

(College of Automation,Hebei University of technology,Tianjin 300130,China;College of Automation,Nankai University,Tianjin 300071,China)

Abstract:

A compound neural network is utilized to identify the dynamic nonlinear system.This network is composed of two parts: one is a linear neural network,and the other is a recurrent neural network.Based on the inverse theory a compound inverse control method is proposed.The controller has also two parts:a linear controller and a nonlinear neural network controller.The stability condition of the closed-loop neural network-based compound inverse control system is demonstrated based on the Lyapunov theory.Simulation studies have shown that this scheme is simple and has good control accuracy and robustness.

Key words: Inverse control method Neural networks Nonlinear system Intelligent control