DocumentCode
3303421
Title
Measures of unobservability
Author
Krener, Arthur J. ; Ide, Kayo
Author_Institution
Dept. of Appl. Math., Naval Postgrad. Sch., Monterey, CA, USA
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
6401
Lastpage
6406
Abstract
An observed nonlinear dynamics is observable if the mapping from initial condition to output trajectory is one to one. The standard tool for checking observability is the observability rank condition but this only gives a yes or no answer. It does not measure how observable or unobservable the system is. Moreover it requires the ability to differentiate the dynamics and the observations. We introduce new tools, the local unobservability index and the local estimation condition number, to measure the degree of observability or unobservability of a system. To compute these one only needs the ability to simulate the system. We apply these tools to find the best location to put a sensor to observe the flow induced by two point vortices.
Keywords
observability; estimation condition number; observability checking; observability rank condition; observed nonlinear dynamics; output trajectory; unobservability index; unobservability measures; Computational modeling; Linear approximation; Nonlinear dynamical systems; Nonlinear systems; Observability; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5400067
Filename
5400067
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