Model Predictive Control for MIMO System Based on LSSVM and Mutative Scale Chaos Optimization

摘要：

Aimed at nonlinear MIMO system, a model predictive control(MPC)strategy based on least squares support vector machine(LSSVM)and mutative scale chaos optimization is proposed.Existent method doesnt consider the constrain of control law and results in some meaningless solution.So the proposed method utilizes mutative scale chaos optimization technique to search control law in the feasible interval. The simulation results show that the method proposed has better control performance than MPC based on neural network.

关键词： model predictive control least squares support vector machine mutative scale chaos optimization

作者: Ximing LIANG Gang YAN Shanchun LI Zuqiang LONG Xiang LI Wen LONG

作者单位: School of Information Science and Engineering, Central South University, Changsha, 410083, China School of Information Science and Engineering, Central South University, Changsha, 410083, China Dep

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 810-813

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）