DocumentCode
1850486
Title
Active sensing policy for systems with parametric and additive noise
Author
Liu, Shuo ; Holloway, L.E.
Author_Institution
Dept. of Electr. Eng., Kentucky Univ., Lexington, KY, USA
Volume
5
fYear
1999
fDate
1999
Firstpage
4561
Abstract
In systems with sensing cost, an active sensing policy is needed to determine when to collect sensing observations. This paper presents an active sensing policy for systems with additive and parametric white noise. The policy uses an open-loop estimator between sensings and a Kalman filter when observations are requested. The goal of the policy is to maintain the variance of the state estimate below a given threshold. Sufficient conditions are presented that guarantee that this goal is achievable and will be met
Keywords
Kalman filters; filtering theory; state estimation; white noise; Kalman filter; active sensing policy; additive noise; open-loop estimator; parametric noise; sensing cost; state estimate variance; white noise; Additive noise; Costs; Covariance matrix; Kalman filters; Manufacturing systems; Open loop systems; State estimation; Stochastic resonance; Uncertainty; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location
Phoenix, AZ
ISSN
0191-2216
Print_ISBN
0-7803-5250-5
Type
conf
DOI
10.1109/CDC.1999.833261
Filename
833261
Link To Document