DocumentCode :
848637
Title :
Optimal adaptive LQG control for systems with finite state process parameters
Author :
Caines, P. ; Chen, H.
Author_Institution :
McGill University, Montreal, P.Q., Canada
Volume :
30
Issue :
2
fYear :
1985
fDate :
2/1/1985 12:00:00 AM
Firstpage :
185
Lastpage :
189
Abstract :
The situation where a totally observed process ytis generated by a stochastic differential equation whose parameters evolve on a finite set {1, ... N} according to a stochastic differential equation is considered. The optimal control law is sought with respect to quadratic loss functions on ytand the control ut. The auxiliary P.D.E. technique of Hijab [6] is used together with a nonlinear filter to obtain the solution whose existence depends upon that of a smooth solution to the auxiliary P.D.E. and strong solutions to the system S.D.E. under the given control inputs.
Keywords :
Adaptive control, linear systems; Linear quadratic Gaussian (LQG) control; Adaptive control; Control systems; Filters; Least squares approximation; Optimal control; Parameter estimation; Partitioning algorithms; Programmable control; Riccati equations; Stochastic systems;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1985.1103907
Filename :
1103907
Link To Document :
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