%0 Journal Article
%T Application of Hybrid PSO to Least Mean Square Error Regulator<br>混合PSO在最小均方误差调节器中的应用
%A WU Hua-Li
%A WU Jin-Hua
%A LIU Ai-Li
%A <br>吴华丽
%A 吴进华
%A 柳爱利
%J 计算机系统应用
%D 2012
%I 
%X The least mean square error regulator is adopted to improve performance of the dead beat control system as one method in common use, while selection of the regulator parameter is very important. This paper designs the particle swarm optimization algorithm based on simulated annealing to optimizing parameter in the course of defining the least mean square error regulator, which is used in simulating the concrete system. The results show that Hybrid PSO can get better optimization effect than SA or PSO single used, compared with the method of determining parameters in the relevant literature,while the overshoot and settling time of the system are improved obviously, which validates the effectiveness of the algorithra put forward.
%K least mean square error
%K parameter selection
%K particle swarm optimization
%K simulated annealing： optimization<br>最小均方误差
%K 参数选择
%K 粒子群算法
%K 模拟退火
%K 优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=2F008F04A30914BA2C2BD9A4FEE10C02&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=E158A972A605785F&sid=D2742EEE6F4DF8FE&eid=1B64850025D0BBBE&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=8