DocumentCode
3035296
Title
Convergence of continuous-time partitioned adaptive state estimators
Author
Tugnait, J.K.
Author_Institution
The University of Iowa, Iowa City, Iowa
fYear
1980
fDate
10-12 Dec. 1980
Firstpage
673
Lastpage
678
Abstract
The asymptotic behavior of Bayes optimal adaptive state estimation schemes (also called the partitioned adaptive estimation algorithms) for continuous-time linear dynamic Gauss-Markov systems with unknown parameters is investigated. The unknown system parameters are assumed to belong to a finite set. The results are developed through weak consistency of the maximum likelihood and the maximum a posteriori probability estimates of the unknown parameters.
Keywords
Adaptive estimation; Bayesian methods; Cities and towns; Convergence; Extraterrestrial measurements; Gaussian processes; Parameter estimation; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the Symposium on Adaptive Processes, 1980 19th IEEE Conference on
Conference_Location
Albuquerque, NM, USA
Type
conf
DOI
10.1109/CDC.1980.271884
Filename
4046750
Link To Document