DocumentCode :
2481640
Title :
A Separation Principle for Distributed Control
Author :
Rantzer, Anders
Author_Institution :
Autom. Control LTH, Lund Univ.
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
3609
Lastpage :
3613
Abstract :
A linear quadratic control problem is considered, where several different controllers act as a team, but with access to different measurements. The state feedback solution obtained in a previous paper is here extended to output feedback and a separation principle is proved. The condition that certain measurements are unavailable to some state estimators is enforced by imposing a requirement that the generated estimates must be insensitive to the changes in corresponding covariances between measurement noise and process noise
Keywords :
covariance matrices; distributed control; linear quadratic control; observers; state feedback; distributed control; linear quadratic control; output feedback; separation principle; state estimation; state feedback; Constraint theory; Distributed control; Linear feedback control systems; Noise generators; Noise measurement; Optimal control; Output feedback; State estimation; State feedback; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.376734
Filename :
4177916
Link To Document :
بازگشت