%0 Journal Article
%T The Neura Network Predictive Control of Time-Delay Systems<br>时滞系统的神经网络预测控制(英文)
%A XU Xiang-yuan
%A MAO Zong-yuan
%A <br>徐湘元
%A 毛宗源
%J 控制理论与应用
%D 2001
%I 
%X With regards to the characteristics of time delay system and the weakness of single predictive control, this paper puts forward a control scheme of multi step ahead prediction and compensation, which increases control power effectively, and improves dynamic characteristics of the system. The paper also discusses the relationship between the step number of prediction and compensation and the stability of systems.
%K time
%K delay systems
%K multi
%K step prediction and compensation
%K increased step number p
%K stability<br>时滞系统
%K 稳定性
%K 神经网络
%K 预测控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=0384ED6B8632C230&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=B31275AF3241DB2D&sid=796A97DD793AE4A8&eid=40541F483644ACC4&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=8&reference_num=3