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线性系统极点配置的神经网络算法
引用本文:王中生,何汉林,廖晓昕.线性系统极点配置的神经网络算法[J].华中科技大学学报(自然科学版),2002,30(1):4-5,8.
作者姓名:王中生  何汉林  廖晓昕
作者单位:武汉华中科技大学控制科学与工程系,武汉,430074
基金项目:国家自然科学基金资助项目 (6 0 0 740 0 8,中国博士后基金委基金资助项目
摘    要:利用人工神经网络,讨论了线性定常控制系统关于状态反馈,输出反馈及动态补偿器的极点配置问题,对状态反馈问题采用一个二级四层BP网求解,对输出反馈问题采用一个二级五层BP网求解,而对动态补偿器问题亦可采用一个二级五层BP网求解,这些极点配置方法便于计算机实现。

关 键 词:线性系统  极点配置  人工神经网络  状态反馈  输出反馈  动态补偿器  矩阵计算
文章编号:1671-4512(2002)01-0004-02

A neural network algorithm for pole assignment in linear systems
Wang Zhongsheng He Hanlin Liao Xiaoxin Assoc. Prof., Dept. of Contr. Sci. & Eng.,HUST,Wuhan ,China..A neural network algorithm for pole assignment in linear systems[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2002,30(1):4-5,8.
Authors:Wang Zhongsheng He Hanlin Liao Xiaoxin Assoc Prof  Dept of Contr Sci & Eng  HUST  Wuhan  China
Institution:Wang Zhongsheng He Hanlin Liao Xiaoxin Assoc. Prof., Dept. of Contr. Sci. & Eng.,HUST,Wuhan 430074,China.
Abstract:By Using an artificial neural network, the pole assignment problem of state feedback, output feedback and dynamic output feedback compensators in linear control system are discussed. The problem of state feedback can be solved by a 2 form 4 layer BP network, the problem of output feedback can be solved by a 2 form 5 layer BP network, and the problem of dynamic output feedback compensators can also be solved by a 2 form 5 layer BP network. Those methods mentioned above can be carried out by using computers easily.
Keywords:linear system  pole assignment  artificial neural network  algorithm
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