DocumentCode :
3135858
Title :
Improved future model prediction and robust MPC design for LPV systems with bounded rates of parameter variations
Author :
Pengyuan Zheng ; Dewei Li ; Yugeng Xi ; Jun Zhang
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
For linear parameter varying (LPV) systems with bounded rates of parameter variations, the prediction of future system dynamics is an important issue for the control performance of robust model predictive control (RMPC). A future model prediction method is proposed. By introducing more freedom, the proposed method can predict the future system dynamics more precisely than the existing approaches, which improves the control performance of RMPC.
Keywords :
control system synthesis; linear systems; prediction theory; predictive control; robust control; LPV systems; RMPC; bounded rates; control performance; future system dynamics prediction; linear parameter varying systems; parameter variations; robust MPC design; robust model predictive control; Computational modeling; Optimization; Prediction algorithms; Predictive models; Robustness; Upper bound; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
Type :
conf
DOI :
10.1109/ASCC.2013.6606174
Filename :
6606174
Link To Document :
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