DocumentCode :
3114398
Title :
A Kalman Decomposition for Robustly Unobservable Uncertain Linear Systems
Author :
Petersen, Ian R.
Author_Institution :
School of Information Technology and Electrical Engineering, Australian Defence Force Academy, Canberra ACT 2600, Australia, irp@ee.adfa.edu.au.
fYear :
2005
fDate :
12-15 Dec. 2005
Firstpage :
2928
Lastpage :
2932
Abstract :
This paper considers the structure of uncertain linear systems building on a concept of robust unobservability which was introduced in a previous paper. Compared to the previous paper, this paper specializes to the case of linear time invariant uncertain systems with unstructured uncertainty described by an averaged integral quadratic constraint. The paper presents a new characterization of the robustly unobservable states and shows that this leads to a Kalman type decomposition for uncertain linear systems with robustly unobservable states.
Keywords :
Australia; Buildings; Kalman filters; Linear systems; Observability; Robustness; State estimation; Time varying systems; Uncertain systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
Type :
conf
DOI :
10.1109/CDC.2005.1582609
Filename :
1582609
Link To Document :
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