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基于神经网络实现模糊控制的方法
引用本文:邰克政.基于神经网络实现模糊控制的方法[J].北方工业大学学报,1997,9(3):1-7.
作者姓名:邰克政
作者单位:北方工业大学模糊控制研究所!北京石景山,100041
摘    要:介绍了一般模糊控制器的结构和主要组成部分的工作原理,介绍了实现模糊控制的查表法,硬件表用模糊控制器和软件模糊推理法的特点。

关 键 词:神经网络  模糊控制  训练样本

Research Work of Fuzzy Control Based on Neural Networks
Tai Kezheng.Research Work of Fuzzy Control Based on Neural Networks[J].Journal of North China University of Technology,1997,9(3):1-7.
Authors:Tai Kezheng
Abstract:In this paper, the general structure of fuzzy controller, working principles of the main the components(fuzzification, fuzzy inference and defuzzification), and the characteristics of look-up-table method for fuzzy control hardware for a special purpose fuzzy controller and method of software fuzzy inference are deseribed. This paper discusses an intelligent contrtol method based on fuzzy neural networks, and the methods for representing the knowledge rule of the fuzzy control, fuzzy inference and learning algorithm using multi-layer neural networks. It discusses the complementary relatiollship and implementation of fuzzy control using neural networks. Practice shows that the controller may improve the controlling quality in the non-linear, changeable and large time lags control systems. The performance is superior to the conventional fuzzy control.
Keywords:neural network  fuzzy control  training sample
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