Structure theorem for five-dimensional estimation algebras

被引:11
作者
Chiou, WL
Chiueh, WR
Yau, SST
机构
[1] Univ Illinois, Dept Math Stat & Comp Sci MC 249, Chicago, IL 60607 USA
[2] Fu Jen Catholic Univ, Dept Math, Taipei, Taiwan
关键词
nonlinear filter; estimation algebras; Kalman-Bucy filter;
D O I
10.1016/j.sysconle.2005.08.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 give classification of estimation algebras of dimension at most five. Although the classification of finite-dimensional estimation algebra of maximal rank was completed by Yau and his coworkers Chen, Chiou, Hu, Wong and Wu; the problem of classification of non-maximal rank finite-dimensional estimation algebra is still wide open except for the case of state space dimension 2. Hopefully, the result of this paper will shed some light on the non-maximal rank estimation algebras. (c) 2005 Elsevier B.V. All rights reserved.
引用
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页码:275 / 281
页数:7
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