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基于模糊神经网络的倒立摆控制系统
引用本文:项湜伍,陈元春,刘新铭. 基于模糊神经网络的倒立摆控制系统[J]. 计算机应用与软件, 2006, 23(10): 68-70
作者姓名:项湜伍  陈元春  刘新铭
作者单位:上海师范大学计算机科学系,上海,200234;上海电机学院信息工程系,上海,200240;上海电机学院信息工程系,上海,200240
摘    要:在分析模糊控制、神经网络控制的基础上,根据倒立摆的特点,提出了模糊神经网络的控制结构。使用了遗传算法和BP算法相结合的方式来优化模糊神经网络,并以固高公司的倒立摆做实验,对实验结果进行了深入的研究和分析。

关 键 词:模糊控制  神经网络控制  模糊神经网络  倒立摆  遗传算法  BP算法
收稿时间:2005-07-26
修稿时间:2005-07-26

INVERTED PENDULUM CONTROL SYSTEM ON FUZZY-NEURAL NETWORK
Xiang Shiwu,Chen Yuanchun,Liu Xinming. INVERTED PENDULUM CONTROL SYSTEM ON FUZZY-NEURAL NETWORK[J]. Computer Applications and Software, 2006, 23(10): 68-70
Authors:Xiang Shiwu  Chen Yuanchun  Liu Xinming
Affiliation:1 Department of Computer Science,Shanghai Normal University,Shanghai 2000234, China; 2 Deparment of Information Engineering, Shanghai Dianji University, Shanghai 200240, China
Abstract:First this paper analyses the theories of fuzzy control and neural network control. On this basis, a fuzzy-neural network control structure is put forward. This paper introduces the genetic algorithm and optimizes the fuzzy-neural network by the way of combining BP algorithm with genetic algorithm, and puts experiments to the inverted pendulum of Googohech Company.
Keywords:Fuzzy control Neural network control Fuzzy-neural network Inverted pendulum Genetic algorithm BP algorithm
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