一种新型的自适应模糊单神经元控制算法

A New Algorithm of Adaptive Fuzzy-Neuron Control

  • 摘要: 提出了一种新型的模糊单神经元控制算法,它不需要对象的数学模型,同时又具有模糊控制和单神经元控制的优点,并且参数在动态过程可自适应调整.仿真实验表明这种算法具有较好的动态过程性能指标和较强的鲁棒性.

     

    Abstract: A new algorithm of adaptive fuzzy-neuron control is put forward, in which the mathematical model of objectives is not required, and the virtue of fuzzy and neuron control is included. The parameters are adjusted adaptively in the dynamic process. Simulation experiment shows that the algorithm is of good performance and strong robust.

     

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