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Fault detection and isolation for systems defined over graphs

Fault detection and isolation for systems defined over graphs
Fault detection and isolation for systems defined over graphs
We consider the problem of fault detection and isolation for a class of linear dynamical systems defined by a graph containing faulty vertices and observer vertices. Using a geometric approach, we provide a characterization of the smallest conditioned invariant subspaces generated by faults in terms of the underlying graph structure. Based on this characterization, we give graph-theoretic conditions guaranteeing fault detectability. In addition, we provide a condition under which fault detectability fails
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Everts, Anneroos R.F.
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Camlibel, Kanat M.
f67b0877-df5c-49b5-9b49-1811c66b4c52
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Everts, Anneroos R.F.
37eb3f45-035d-4433-b010-43aca4bb4d45
Camlibel, Kanat M.
f67b0877-df5c-49b5-9b49-1811c66b4c52

Rapisarda, Paolo, Everts, Anneroos R.F. and Camlibel, Kanat M. (2015) Fault detection and isolation for systems defined over graphs. 54th IEEE Conference on Decision and Control, , Osaka, Japan. 15 - 18 Dec 2015. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

We consider the problem of fault detection and isolation for a class of linear dynamical systems defined by a graph containing faulty vertices and observer vertices. Using a geometric approach, we provide a characterization of the smallest conditioned invariant subspaces generated by faults in terms of the underlying graph structure. Based on this characterization, we give graph-theoretic conditions guaranteeing fault detectability. In addition, we provide a condition under which fault detectability fails

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CDC15_1705_FaultsOverNetworks.pdf - Author's Original
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More information

Accepted/In Press date: 2015
Venue - Dates: 54th IEEE Conference on Decision and Control, , Osaka, Japan, 2015-12-15 - 2015-12-18
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 381782
URI: http://eprints.soton.ac.uk/id/eprint/381782
PURE UUID: 3235d453-5597-49fa-8931-8d51f3d74a92

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Date deposited: 15 Oct 2015 09:15
Last modified: 11 Dec 2021 07:41

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Contributors

Author: Paolo Rapisarda
Author: Anneroos R.F. Everts
Author: Kanat M. Camlibel

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