Title :
Measures of unobservability
Author :
Krener, Arthur J. ; Ide, Kayo
Author_Institution :
Dept. of Appl. Math., Naval Postgrad. Sch., Monterey, CA, USA
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;
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
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400067