文献类型：期刊文献

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

作者：Yu, Zhaoxu[1]; Luo, Jianxu[1]; Liu, Ji[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, Shanghai, 200237, China

年份：2013

卷号：11

期号：1

起止页码：18

外文期刊名：Journal of Control Theory and Applications

收录：EI(收录号：20130415923557)

语种：英文

外文关键词：Dead zones - Delay control systems - Time varying control systems - Adaptive control systems - Backstepping - Feedback - Timing circuits

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. ? 2013 South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.