DocumentCode
1089645
Title
Set-membership identification of systems with parametric and nonparametric uncertainty
Author
Kosut, Robert L. ; Lau, Ming K. ; Boyd, Stephen P.
Author_Institution
Integrated Syst. Inc., Santa Clara, CA, USA
Volume
37
Issue
7
fYear
1992
fDate
7/1/1992 12:00:00 AM
Firstpage
929
Lastpage
941
Abstract
A method for parameter set estimation in which the system model is assumed to contain both parametric and nonparametric uncertainty is presented. In the disturbance-free case, the parameter set estimate is guaranteed to contain the parameter set of the true plant. In the presence of stochastic disturbances, the parameter set estimate obtained from finite data records is shown to have the property that it contains the true-plant parameter set with probability one as the data length tends to infinity
Keywords
parameter estimation; set theory; nonparametric uncertainty; parameter set estimation; parametric uncertainty; set-membership identification; Adaptive control; Algorithm design and analysis; Error correction; Information systems; Integrated circuit modeling; Laboratories; Parameter estimation; Robust control; Stochastic processes; Uncertainty;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.148345
Filename
148345
Link To Document