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

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• 作者：Zhaoxu Yu ; Jianxu Luo ; Ji Liu
• 关键词：Pure ; feedback nonlinear systems ; Adaptive neural control ; Razumikhin functional ; Time ; delay ; Deadzone
• 刊名：Control Theory and Technology
• 出版年：2013
• 出版时间：February 2013
• 年：2013
• 卷：11
• 期：1
• 页码：18-26
• 全文大小：276 KB
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• 作者单位：Zhaoxu Yu (1)
  Jianxu Luo (1)
  Ji Liu (1)
  
  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
  
• 刊物类别：Control; Systems Theory, Control; Optimization; Computational Intelligence; Complexity; Control, Rob
• 刊物主题：Control; Systems Theory, Control; Optimization; Computational Intelligence; Complexity; Control, Robotics, Mechatronics;
• 出版者：South China University of Technology and Academy of Mathematics and Systems Science, CAS
• ISSN：2198-0942

文摘

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. Keywords Pure-feedback nonlinear systems Adaptive neural control Razumikhin functional Time-delay Deadzone