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本文对具有时滞的不确定控制对象提出了一种带有神经网络的Smith预估器再励学习控制方法 .文中还给出了再励学习系统中模糊自适应控制器的网络结构及其有关算法的改进 .仿真结果表明 :本文提出的控制方法对具有时滞的不确定系统的自学习控制不仅是有效的 ,而且具有良好的鲁棒性 .
In this paper, we present a new neural network-based recursion learning control method for uncertain control objects with time-delay. The paper also gives the network structure of fuzzy adaptive controller in re-energized learning system and its related The simulation results show that the proposed control method is not only effective, but also robust to the self-learning control of uncertain systems with time-delay.