Supervisory Predictive Control of Weighted Least Square Support Vector Machine Based on Cauchy Distribution

摘要：

　　Least square support vector machine is a kind of thought to solve structural risk minimization method,weighted least squares support vector machine is introduced to solve the exist robustness,sparsity and large-scale computational problems,since the weighted method easily leads to shortcomings of over-fitting,according to the Cauchy distribution characteristics,weighted least squares support vector machines based on Cauchy distribution,and according to the identification function of least square support vector machine,which are used in supervisory predictive control algorithm.Simulation results show that weighted least square support vector machine based on Cauchy distribution learns fast,has good nonlinear modeling and generalization ability,and the supervisory predictive control algorithm of weighted least square support vector machine based on Cauchy distribution has better control performance.

关键词： support vector machine weighted least square support vector machine Cauchy distribution supervisory predictive control

作者: LI Suzhen LIU Xiangjie YUAN Gang

作者单位: Department of Control and Computer Engineering,North China Electric Power University,Beijing 102206 Sany Heavy Industry,ZhongXing Hydraulic Parts Co.Ltd,loudi 417009,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 3523-3526

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）