Stochastic output feedback model predictive control

Perez, Tristan & Goodwin, G. C. (2001) Stochastic output feedback model predictive control. In Proceedings of the 2001 American Control Conference (Volume 3), IEEE, Arlington, VA, The United States of America, pp. 2412-2417.

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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

Impact and interest:

5 citations in Scopus
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2 citations in Web of Science®

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ID Code: 78306
Item Type: Conference Paper
Refereed: Yes
Additional Information: 7113745
model predictive control
output feedback
linear systems
stochastic disturbances
Kalman Filter
state estimation
dynamic programming
optimal control
Keywords: dynamic programming, feedback, Kalman filters, linear systems, optimal control, predictive control, state estimation, stochastic systems
DOI: 10.1109/ACC.2001.946114
ISBN: 0780364953
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2001 AACC
Deposited On: 09 Apr 2015 23:41
Last Modified: 09 Apr 2015 23:41

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