DocumentCode :
2726841
Title :
Dynamic Matrix Control Based on Support Vector Regressions Error Compensation
Author :
Yang, Jinfang ; Wang, Dongfeng ; Han, Pu ; Xu, Daping ; Zhai, Yongjie
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
2286
Lastpage :
2290
Abstract :
Dynamic matrix control builds predictive model with step response which is easy to obtain in engineering practice. As model mismatch, disturbance and noise inevitably involve the modeling error, this impacts the control performance. Considers to this kind of situation, an algorithm of dynamic matrix control based on support vector regressions error compensation is proposed. Namely, build error model on-line using support vector regressions and do one-step prediction to compensate the predictive model. Thus realize the compensation for model error and strength the robustness of the algorithm. The simulation results show that the algorithm has better control ability, and it has better anti-inference ability than conventional dynamic matrix control
Keywords :
error compensation; matrix algebra; predictive control; regression analysis; antiinference ability; dynamic matrix control; model error compensation; model mismatch; modeling error; predictive model; step response; support vector regression; Automatic control; Automation; Electronic mail; Error compensation; Error correction; Heuristic algorithms; Power engineering and energy; Predictive models; Robustness; Support vector machines; dynamic matrix control (DMC); error compensation; regression; step response model; support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712767
Filename :
1712767
Link To Document :
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