Title :
Stochastic optimal control of ARMAX model
Author_Institution :
Dept. of Autom. Control, Czech Tech. Univ. of Prague, Prague, Czech Republic
Abstract :
Simultaneous state estimation and parameter tracking of time varying input-output ARMAX model with known noise parameters was described recently. Optimal control strategies of such model are developed in this contribution. Certainty equivalent and cautious LQ strategies (Linear system and Quadratic criterion) are obtained. Certainty equivalent strategies operate with state and parameter means only and so neglect the uncertainty while cautious strategies take parameter and state estimation uncertainty into the consideration.
Keywords :
autoregressive moving average processes; linear quadratic control; linear systems; parameter estimation; state estimation; stochastic systems; autoregressive moving average with exogenous inputs; cautious LQ strategies; certainty equivalent strategies; linear system; noise parameters; optimal control strategies; parameter estimation uncertainty; parameter tracking; quadratic criterion; state estimation; stochastic optimal control; time varying input-output ARMAX model; Mathematical model; Noise; Optimal control; Random variables; State estimation; Stochastic processes; Uncertainty; ARMAX model; Optimal control; Stochastic system;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6