DocumentCode :
2576045
Title :
Structure theorem for six-dimensional estimation algebras
Author :
Jiao, Yang ; Yau, Stephen S T
Author_Institution :
Dept. of Math., Stat. & Comput. Sci. (M/C 249), Univ. of Illinois at Chicago, Chicago, IL, USA
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
6991
Lastpage :
6996
Abstract :
The problem of classification of finite-dimensional estimation algebras was formally proposed by Brockett in his lecture at International Congress of Mathematicians in 1983. Due to the difficulty of the problem, in the early 1990s Brockett suggested that one should understand the low-dimensional estimation algebras first. In this paper, We extend Yau and his coauthors´ work of the Mitter conjecture for low dimensional estimation algebras in nonlinear filtering problem. And we apply the results to give classification of estimation algebras of dimension six.
Keywords :
algebra; filtering theory; nonlinear filters; pattern classification; estimation algebra classification; nonlinear filtering problem; six-dimensional estimation algebra; structure theorem; Algebra; Estimation; Mathematical model; Polynomials; Symmetric matrices; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717661
Filename :
5717661
Link To Document :
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