文献类型：期刊文献

中文题名：Adaptive neural control for pure-feedback nonlinear time-delay systems with unknown dead-zone: a Lyapunov-Razumikhin method

英文题名：Adaptive neural control for pure-feedback nonlinear time-delay systems with unknown dead-zone: a Lyapunov-Razumikhin method

作者：Zhaoxu YU[1];Jianxu LUO[1];Ji LIU[1]

机构：[1]Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology

年份：2013

卷号：11

期号：1

起止页码：18

中文期刊名：控制理论与应用（英文版）

收录：Scopus;CSCD:【CSCD2013_2014】；

基金：supported by the National Natural Science Foundation of China (No. 60974066);the Natural Science Foundation of Shanghai (Nos.12ZR1408200, 11ZR1409800);the Fundamental Research Funds for the Central Universities

语种：英文

中文关键词：Pure-feedback nonlinear systems; Adaptive neural control; Razumikhin functional; Time-delay; Deadzone

外文关键词：Pure-feedback nonlinear systems; Adaptive neural control; Razumikhin functional; Time-delay; Deadzone

摘要：This paper addresses the problem of adaptive neural control for a class of uncertain pure-feedback nonlinear systems with multiple unknown state time-varying delays and unknown dead-zone. Based on a novel combination of the Razumikhin functional method, the backstepping technique and the neural network parameterization, an adaptive neural control scheme is developed for such systems. All closed-loop signals are shown to be semiglobally uniformly ultimately bounded, and the tracking error remains in a small neighborhood of the origin. Finally, a simulation example is given to demonstrate the effectiveness of the proposed control schemes.
This paper addresses the problem of adaptive neural control for a class of uncertain pure-feedback nonlinear systems with multiple unknown state time-varying delays and unknown dead-zone. Based on a novel combination of the Razumikhin functional method, the backstepping technique and the neural network parameterization, an adaptive neural control scheme is developed for such systems. All closed-loop signals are shown to be semiglobally uniformly ultimately bounded, and the tracking error remains in a small neighborhood of the origin. Finally, a simulation example is given to demonstrate the effectiveness of the proposed control schemes.