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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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