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
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;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434580
