DocumentCode :
1751570
Title :
Stochastic output feedback model predictive control
Author :
Pérez, Tristan ; Goodwin, Graham C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Newcastle Univ., Callaghan, NSW, Australia
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
2412
Abstract :
This paper addresses the issue of output feedback model predictive control for linear systems with input constraints and stochastic disturbances. We show that the optimal policy uses the Kalman filter for state estimation, but the resultant state estimates are not utilized in a certainty equivalence control law
Keywords :
Kalman filters; dynamic programming; feedback; linear systems; optimal control; predictive control; state estimation; stochastic systems; Kalman Filter; dynamic programming; linear systems; model predictive control; optimal control; output feedback; state estimation; stochastic disturbances; Dynamic programming; Linear systems; Optimal control; Output feedback; Predictive control; Predictive models; Riccati equations; State estimation; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
ISSN :
0743-1619
Print_ISBN :
0-7803-6495-3
Type :
conf
DOI :
10.1109/ACC.2001.946114
Filename :
946114
Link To Document :
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