DocumentCode
2823991
Title
Reduced order model predictive control method based on decomposition of discrete-time linear systems
Author
Hara, Naoyuki ; Kojima, Akira
Author_Institution
Metropolitan Univ., Tokyo
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
1269
Lastpage
1274
Abstract
A reduced order model predictive control method is discussed for constrained discrete-time linear systems. By employing an alternative decomposition of finite-horizon linear systems, a model predictive control method, which works effectively for large systems, is obtained. The proposed method is illustrated with numerical examples.
Keywords
discrete time systems; linear systems; predictive control; reduced order systems; discrete-time linear systems; finite-horizon linear systems; reduced order model predictive control method; Control systems; Cost function; Large-scale systems; Linear systems; Optimal control; Predictive control; Predictive models; Reduced order systems; Riccati equations; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2007 46th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
978-1-4244-1497-0
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2007.4434580
Filename
4434580
Link To Document