%0 Journal Article
%T Parameter Identification of Linear Systems Using Hopfield Neural Networks
基于Hopfield神经网络的线性系统参数辨识
%A SONG Yi-min
%A ZHANG Ce
%A MA Wen-gui
%A
宋轶民
%A 张 策
%A 马文贵
%J 控制理论与应用
%D 2000
%I
%X In this paper a novel parameter identification method for linear system is developed based on the optimization computing theory of Hopfield Neural Networks (HNN).The I/O difference equation is formulated and estimated using continuous HNN firstly.Then the transfer function matrix of the system is calculated.And finally the observable canonical form of the state space expression is constructed.Simulation results prove the validity of the proposed method.
%K Hopfield neural networks (HNN)
%K linear system
%K parameter identification
线性系统
%K 参数辨识
%K 人工神经网络
%K 系统辨识
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=7699CF6BAE2FADB9&yid=9806D0D4EAA9BED3&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=CDEBD1ACE0A4C1C1&eid=2F56B21F91C9B05B&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=3&reference_num=8