Stochastic output feedback model predictive control


Autoria(s): Perez, Tristan; Goodwin, G. C.
Data(s)

2001

Resumo

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

Identificador

http://eprints.qut.edu.au/78306/

Publicador

IEEE

Relação

DOI:10.1109/ACC.2001.946114

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.

Direitos

Copyright 2001 AACC

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #dynamic programming #feedback #Kalman filters #linear systems #optimal control #predictive control #state estimation #stochastic systems
Tipo

Conference Paper