Filtering with unreliable sensors

Murthy D.N.P. (1982) Filtering with unreliable sensors. International Journal of Systems Science, 13 4: 437-451. doi:10.1080/00207728208926360


Author Murthy D.N.P.
Title Filtering with unreliable sensors
Journal name International Journal of Systems Science   Check publisher's open access policy
ISSN 1464-5319
Publication date 1982
Sub-type Article (original research)
DOI 10.1080/00207728208926360
Volume 13
Issue 4
Start page 437
End page 451
Total pages 15
Subject 2207 Control and Systems Engineering
1706 Computer Science Applications
2614 Theoretical Computer Science
1703 Computational Theory and Mathematics
1803 Management Science and Operations Research
Abstract This paper deals with state estimation using unreliable sensors. The sensor is modelled by a relationship z(t) = γ(t)(Cx(t) + vt)) where z (t), x(t) and v(t) represent observation, state and noise respectively, and γ(t) is a binary valued random variable. A change, in γ(t) from one to zero corresponds to failure and, from zero to one corresponds either to repair or replacement of the failed sensor. We assume that γ(t) is monitored. Since γ(t) is a random variable, the co-variance of the best estimate is also a random variable. We derive expressions for the expected value of this covariance including aspects such as spares and multiple switchings. Also, we examine optimal policies for switching on sensors.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
 
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Created: Tue, 12 Jul 2016, 01:23:12 EST by System User