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| Received:April 06, 2011Revised:March 27, 2012 |
| 基金项目:This work was supported by the National Natural Science Foundation of China (No. 60974066), the Natural Science Foundation of Shanghai (Nos.12ZR1408200, 11ZR1409800), and the Fundamental Research Funds for the Central Universities. |
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| Adaptive neural control for pure-feedback nonlinear time-delay systems with unknown dead-zone: a Lyapunov-Razumikhin method |
| Zhaoxu YU,Jianxu LUO,Ji LIU |
| (Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology) |
| Abstract: |
| 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. |
| Key words: Pure-feedback nonlinear systems Adaptive neural control Razumikhin functional Time-delay Deadzone |
