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
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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
Text
CDC15_1705_FaultsOverNetworks.pdf
- Author's Original
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: 14 Mar 2024 21:20
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Contributors
Author:
Paolo Rapisarda
Author:
Anneroos R.F. Everts
Author:
Kanat M. Camlibel
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