DocumentCode
854753
Title
On the influence of noise on jump linear systems
Author
Mariton, M.
Author_Institution
University of California, La Jolla, CA, USA
Volume
32
Issue
12
fYear
1987
fDate
12/1/1987 12:00:00 AM
Firstpage
1094
Lastpage
1097
Abstract
Jump linear systems are considered in a random environment where they are subject to additive and multiplicative noises. Stochastic notions of stabilizability and detectability are introduced to characterize the asymptotic behavior of the optimal jump linear quadratic Gaussian regulator and a dual Kalman filter.
Keywords
Jump parameter systems, linear; Kalman filtering, linear systems; Linear quadratic Gaussian (LQG) control; Additive noise; Cost function; Linear systems; Noise measurement; Optimal control; Power system modeling; Regulators; Stochastic resonance; Vectors; Working environment noise;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1987.1104526
Filename
1104526
Link To Document