An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given.
介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。
Based on designing analytical fuzzy controller, fuzzy-neuron model-free control algorithm is studied by using single neuron and the thought of intelligent integral.
设计了解析模糊控制器，并在此基础上引入了单神经元；根据智能积分的思想，研究了模糊神经元非模型控制算法。
The novel method of the fuzzy neuron model-free coordination control is proposed for a unit power plant with uncertainties in this paper.
本文提出了具有不确定性火电单元机组的一种前馈模糊神经非模型协调控制方法。
That the easy realization in applications of traditional PSD algorithm combine with the advantages of neuron network for model free control, is a good method for the plant having uncertainty model.
传统的PSD算法所具有的易于工程实现的特点和神经网络在非模型控制上所具有的优势，二者的结合对模型不确定性对象的控制是一个好的方法。
That the easy realization in applications of traditional PSD algorithm combine with the advantages of neuron network for model free control, is a good method for the plant having uncertainty model.
传统的PSD算法所具有的易于工程实现的特点和神经网络在非模型控制上所具有的优势，二者的结合对模型不确定性对象的控制是一个好的方法。
应用推荐