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长春光学精密机械与物理研究所
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中国科学院长春光学精密机械与物理研究所
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An improved adaptive neural network method for control system (EI CONFERENCE)
Wang L.-M.
;
Xie M.-J.
;
Wu D.-Y.
2006
会议名称
2006 International Conference on Machine Learning and Cybernetics, August 13, 2006 - August 16, 2006
会议地点
Dalian, China
关键词
Classical methods for designing a controller depend on the accuracy of system model. However
plant's models and other parts in a physical system can not accurately represent all possible dynamics. Thus the controller designed is usually not the optimal one. In this article
a new
simple adaptive control method
which combines the classical frequency domain method with the neural network theory
is proposed. Firstly
we can obtain a controller using classical method. Secondly we use the coefficients in digitized controller equation as the initial values of an Adaline network. Finally
LMS learning rules is used to adjust the weights adaptively. Experimental results show that this method is very effective in improving the performance of conventional controller. 2006 IEEE.
页码
293-296
收录类别
EI
内容类型
会议论文
源URL
[
http://ir.ciomp.ac.cn/handle/181722/33236
]
专题
长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714
Wang L.-M.,Xie M.-J.,Wu D.-Y.. An improved adaptive neural network method for control system (EI CONFERENCE)[C]. 见:2006 International Conference on Machine Learning and Cybernetics, August 13, 2006 - August 16, 2006. Dalian, China.
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