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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.12 P.1984-1988


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

Author(s):  ZHANG Ri-dong, WANG Shu-qing

Affiliation(s):  Institute of Advanced Process Control, National Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   zrd-el@163.com

Key Words:  Bilinear systems, Model predictive control (MPC), Adaptive control, Support vector machine (SVM)

ZHANG Ri-dong, WANG Shu-qing. Predictive control of a class of bilinear systems based on global off-line models[J]. Journal of Zhejiang University Science A, 2006, 7(12): 1984-1988.

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T1 - Predictive control of a class of bilinear systems based on global off-line models
A1 - ZHANG Ri-dong
A1 - WANG Shu-qing
J0 - Journal of Zhejiang University Science A
VL - 7
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1984

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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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