Predictive control of a class of bilinear systems based on global off-line models  

作　　者：ZHANG Ri-dong WANG Shu-qing 

机构地区：[1]Institute of Advanced Process Control, National Key Laboratory of Industrial Control Technology, Zbejiang University, Hangzhou 310027, China

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2006年第12期1984-1988,共5页浙江大学学报（英文版）A辑（应用物理与工程）

基　　金：Project (No. 60421002) supported by the National Natural ScienceFoundation of China

摘　　要：A new multi-step adaptive predictive control algorithm for a class of bilinear systems is presented. The structure of the bilinear system is converted into a simple linear model by using nonlinear support vector machine (SVM) dynamic approximation with analytical control law derived. The method does not need on-line parameters estimation because the system’s internal model has been transformed into an off-line global model. Compared with other traditional methods, this control law reduces on-line parameter estimating burden. In addition, its overall linear behavior treating method allows an analytical control law available and avoids on-line nonlinear optimization. Simulation results are presented in the article to illustrate the efficiency of the method.A new multi-step adaptive predictive control algorithm for a class of bilinear systems is presented. The structure of the bilinear system is converted into a simple linear model by using nonlinear support vector machine （SVM） dynamic approximation with analytical control law derived. The method does not need on-line parameters estimation because the system＇s internal model has been transformed into an off-line global model. Compared with other traditional methods, this control law reduces on-line parameter estimating burden. In addition, its overall linear behavior treating method allows an analytical control law available and avoids on-line nonlinear optimization. Simulation results are presented in the article to illustrate the efficiency of the method.

关 键 词：Bilinear systems Model predictive control （MPC） Adaptive control Support vector machine （SVM） 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]