NONLINEAR PREDICTIVE FUNCTIONAL CONTROL BASED ON SUPPORT VECTOR MACHINE
Apply predictive function control into nonlinear system and propose a nonlinear control algorithm with supported vector machine. Nonlinear object is identified by supported vector machine of linear kernel function so that predictive model and base function response are obtained. Then explicit mathematic expression of control law for nonlinear model is optimized to create following mechanism of predictive function control and control algorithm is given. Simulation results prove that this algorithm can effectively handle nonlinear process. It has less computation parameters and better track and rejecting disturbance performance.
Predictive function control Support vector machine Nonlinear control system Identification and control
XI-YUN YANG YUE-GANG LV DA-PING XU XIN-FANG ZHANG
Department of Automation, North China Electric Power University, Beijing 102206, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
926-929
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）