DocumentCode
1464891
Title
Brief Paper Using subset sequence to approach the maximal terminal region for model predictive control
Author
Wang, Yannan ; Zhang, Ye ; Sun, Felice ; Liu, Hongying ; Min, Hwang-Ki
Author_Institution
Dept. of Control Eng., Naval Aeronaut. Eng. Univ., Yantai, China
Volume
6
Issue
4
fYear
2012
Firstpage
596
Lastpage
604
Abstract
For the sake of enlarging the domain of attraction of model predictive control (MPC), a novel method of computing a large terminal region was proposed. Given the terminal cost, a subset sequence of the maximal terminal region was constructed by employing one-step set expansion iteratively. It was proved that, when the iteration time goes to infinity, this subsets sequence will converge to the maximal terminal region. Each subset in the sequence was extracted from the state space by exploiting support vector machine classifier.
Keywords
iterative methods; pattern classification; predictive control; set theory; state-space methods; support vector machines; MPC; iteration time; maximal terminal region; model predictive control; one-step set expansion; state space; subset sequence; support vector machine classifier; terminal cost;
fLanguage
English
Journal_Title
Control Theory & Applications, IET
Publisher
iet
ISSN
1751-8644
Type
jour
DOI
10.1049/iet-cta.2010.0301
Filename
6165481
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