%0 Journal Article
%T Applied research of neural network internal model control in nonlinear time-delay system<br>神经网络内模控制在非线性时滞系统中的应用研究
%A HAN Chao-yuan
%A DONG Xiu-cheng
%A <br>韩超远
%A 董秀成
%J 计算机应用研究
%D 2011
%I 
%X According to the common time-lag in industry, an internal model control method and neural control principle effectively combined in this pape, using an improved RBF neural network to be identified for controlled object model and controller adaptively, Based on laboratory electric heating which is a typical first-order lagging object, simulation experiments show that the proposed method has good control characteristic, when system interference or an object parameter changing because of circumstances, the system still has good adaptability and robust stability.
%K time-delay
%K Internal model control
%K RBF neural networks
%K RPCL<br>时滞
%K 内模控制
%K RBF神经网络
%K RPCL
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1B21B40AECA47BDBF611AC16EC6575CB&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=5B3A9A8E2DA941E3&eid=F654D651B5009E39&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10