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 yt is generated by a stochastic differential equation whose parameters evolve on a finite set
according to a stochastic differential equation is considered. The optimal control law is sought with respect to quadratic loss functions on yt and 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.
according to a stochastic differential equation is considered. The optimal control law is sought with respect to quadratic loss functions on yKeywords
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