%0 Journal Article
%T Self-tuning PID controller for a nonlinear system based on support vector machines
基于支持向量机的参数自整定PID非线性系统控制
%A LIU Han
%A LIU Ding
%A
刘 涵
%A 刘 丁
%J 控制理论与应用
%D 2008
%I
%X For a nonlinear system,we propose a new self-tuning PID controller based on support vector machines (SVM).The SVM is applied to identify the non-linear system,which is then linearized to extract the instantaneous linear model.The criterion of minimum variance is used to obtain the optimal tuning PID controller.Some additional measures, including the adoption of first order filter,parameter updating criterion and the adjustment of penalty factor,are taken to improve the performance of PID controller.Simulation results of typical non-linear systems show the effectiveness and feasibility of the self-tuning PID controller based on SVM.
%K support vector machines
%K nonlinear control
%K PID controller
%K linearization
%K self-tuning
支持向量机
%K 非线性控制
%K PID控制器
%K 线性化
%K 自整定
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=6611FF8E196BF66CA26D92A8A644DB22&yid=67289AFF6305E306&vid=C5154311167311FE&iid=38B194292C032A66&sid=3FC4D669D19FF0C6&eid=FE6B7E9BDCCDBAA6&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=1&reference_num=15