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

作     者：Endong LIU Yuanwei JING Siying ZHANG 

作者机构：School of lnformation Sciences ＆ Engineering Northeastern University Shenyang Liaoning 110004 China The Hot Rolled Strip Plant Angang New Iron and Steel Company Anshan Liaoning 114006 China 

出 版 物：《控制理论与应用（英文版）》 (JOURNAL OF CONTROL THEORY AND APPLICATIONS)

年 卷 期：2005年第3卷第2期

页      面：110-116页

学科分类：12[管理学] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 071101[理学-系统理论] 0711[理学-系统科学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the National Natural Science Foundation of China(No.60274009)and Specialized Research Fundfor the Doctoral Program of Higher Education(No.20020145007) 

主　　题：Uncertain nonlinear composite system Dynamic neural networks Adaptive control Performance 

摘      要：Based on high order dynamic neural network, this paper presents the tracking problem for uncertain nonlinear composite system, which contains external disturbance, whose nonlinearities are assumed to be unknown. A smooth controller is designed to guarantee a uniform ultimate boundedness property for the tracking error and all other signals in the dosed loop. Certain measures 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. Numerical simulations performed on a simple example illustrate and clarify the approach.