Title :
Observability measure for stochastic systems
Author :
Yüksel Subaşı;Mübeccel Demirekler
Author_Institution :
Uydu Sistem Tasarı
fDate :
4/1/2011 12:00:00 AM
Abstract :
In this study, the mutual information between the state sequence and the measurements is proposed as an observability measure and this measure is analyzed in detail for linear time invariant discrete-time Gaussian systems. The following results are found as the two basic properties of the measure from the analyses; the unobservable states of the deterministic system have no effect on it. So the measure proposed here is an observability measure of observable states. Secondly, any observable part with no measurement uncertainty makes the measure infinite.
Keywords :
"Observability","Conferences","Controllability","Signal processing","Time measurement","Measurement uncertainty","Linear systems"
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Print_ISBN :
978-1-4577-0462-8
DOI :
10.1109/SIU.2011.5929736