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Failure identification for 3D systems

Failure identification for 3D systems
Failure identification for 3D systems
Geometric control theory is used to investigate the problem of fault detection and isolation for 3D linear systems described by Fornasini–Marchesini models with the aim using these results in applications areas such as wireless sensor networks. Necessary and sufficient conditions for the existence of a solution to this problem are established together with constructive methods for the design of observers for fault detection and identification.
3D systems, fault detection, fault identification, fornasini–marchesini model
481-502
Maleki, Sepehr
5ddca73c-dbd7-40e3-88d7-3d34b9b6e022
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Ntogramadzidis, Lorenzo
ca726ecc-0c31-4044-b26d-7166c88283a2
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Maleki, Sepehr
5ddca73c-dbd7-40e3-88d7-3d34b9b6e022
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Ntogramadzidis, Lorenzo
ca726ecc-0c31-4044-b26d-7166c88283a2
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72

Maleki, Sepehr, Rapisarda, Paolo and Ntogramadzidis, Lorenzo et al. (2015) Failure identification for 3D systems. Multidimensional Systems and Signal Processing, 26 (2), 481-502. (doi:10.1007/s11045-013-0271-2).

Record type: Article

Abstract

Geometric control theory is used to investigate the problem of fault detection and isolation for 3D linear systems described by Fornasini–Marchesini models with the aim using these results in applications areas such as wireless sensor networks. Necessary and sufficient conditions for the existence of a solution to this problem are established together with constructive methods for the design of observers for fault detection and identification.

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Accepted/In Press date: 9 December 2013
e-pub ahead of print date: 28 December 2013
Published date: April 2015
Keywords: 3D systems, fault detection, fault identification, fornasini–marchesini model
Learn more about Vision, Learning and Control research Learn more about Electronics & Computer Science research

Identifiers

Local EPrints ID: 365278
URI: http://eprints.soton.ac.uk/id/eprint/365278
DOI: doi:10.1007/s11045-013-0271-2
PURE UUID: b4a2ecc1-4093-421e-a640-1ccdf4436cbf
ORCID for Eric Rogers: ORCID iD orcid.org/0000-0003-0179-9398

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Date deposited: 29 May 2014 16:14
Last modified: 15 Mar 2024 02:42

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Contributors

Author: Sepehr Maleki
Author: Paolo Rapisarda
Author: Lorenzo Ntogramadzidis
Author: Eric Rogers ORCID iD

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