%0 Journal Article
%T Predictive controlling of LS-SVM based on rolling optimization by PSO<br>基于PSO滚动优化的LS-SVM预测控制*
%A CHEN Jin-dong
%A WANG Xian-fang
%A PAN Feng
%A <br>陈进东
%A 王鲜芳
%A 潘丰
%J 计算机应用研究
%D 2009
%I 
%X It is difficult to build an accurate model using the traditional predictive control algorithm for the nonlinear time delay system, and the control accuracy is low. This paper proposed a nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model. It obtained the nonlinear off-line model of the nonlinear system by LS-SVM to train a sequence data of input and output, and finished the whole rolling optimization procedure by PSO. The simulation results illustrate that the nonlinear predictive control using LS-SVM is effective.
%K nonlinear model predictive control
%K nonlinear modeling
%K least square SVM
%K particle swarm optimization(PSO)<br>非线性模型预测控制
%K 非线性建模
%K 最小二乘支持向量机
%K 粒子群算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=2E898BC4B5F4EC0B67F0022E3465130D&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=E158A972A605785F&sid=196B965FCC00ED31&eid=59754DBA76F6BBAA&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8