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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue (12): 5-    DOI: 10.1631/jzus.2006.A1984
    
Predictive control of a class of bilinear systems based on global off-line models
ZHANG Ri-dong, WANG Shu-qing
Institute of Advanced Process Control, National Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
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Abstract  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.

Key words： Bilinear systems      Model predictive control (MPC)      Adaptive control      Support vector machine (SVM)     
Received: 10 February 2006     
CLC:  TP273  
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ZHANG Ri-dong
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ZHANG Ri-dong, WANG Shu-qing. Predictive control of a class of bilinear systems based on global off-line models. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(12): 5-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A1984     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I12/5

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