›› 2012, Vol. ›› Issue (03): 702-708.

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Adaptive iterative learning control for non-periodical time-varying nonlinear systems

LI Jing1, HU Yun-an1, WEN Wei2   

  1. 1. Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Received:2011-03-30 Online:2012-05-01

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Abstract: The control issue of strict-feedback nonlinear systems with non-periodical time-varying uncertainties and unknown control gain function is investigated. An adaptive iterative learning controller is developed. In the controller design, an iterative neural network is proposed to eliminate the influence of non-periodical time-varying uncertainties. The backstepping and robust adaptive control techniques are combined to solve the design difficulties brought by strict-feedback structure and unknown control functions. Stability analysis indicates that all state variables are bounded and the output tracks the desired trajectory in integral sense. Simulation results verify the effectiveness of the proposed scheme.

Key words: automatic control technology, non-periodical time-varying uncertainties system, strict-feedback, backstepping, adaptive iterative learning

CLC Number: 

  • TP273
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