%0 Journal Article
%T Smooth model switching scheme based on recurrent neural network model predictive control<br>基于递归神经网络模型预测控制的模型平稳切换
%A DU Fu-yin
%A XU Yang
%A CHEN Shu-wei
%A <br>杜福银
%A 徐扬
%A 陈树伟
%J 计算机应用
%D 2006
%I 
%X The control system of differ product conditions could be regarded as a multi-model control system. But model switching will result in transient response of the plant controlled. A method to establish multiples models of system using recurrent neural network and complete switch process based on model predictive control was proposed. Which avoid transient response of switch process and achieve model switching smoothly. Simulation performances indicate that the model switching scheme improve dynamic quality of switch process greatly.
%K Proportional-Integral-Differential controller(PID)
%K recurrent neural network
%K model predictive control
%K model switching
%K smooth<br>比例积分微分控制器
%K 递归神经网络
%K 模型预测控制
%K 模型切换
%K 平稳
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=3D745F1F92BD3E67&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=C4160F9DDB7598AD&eid=14475B1A66930D94&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7