A linear matrix inequality approach to robust fault detection filter design of linear systems with mixed time-varying delays and nonlinear perturbations
dc.contributor.author
dc.date.accessioned
2018-11-20T13:23:14Z
dc.date.available
2018-11-20T13:23:14Z
dc.date.issued
2010-08-01
dc.identifier.issn
0016-0032
dc.identifier.uri
dc.description.abstract
In this paper, the problem of robust fault detection filter (RFDF) design for a class of linear systems with some nonlinear perturbations and mixed neutral and discrete time-varying delays is investigated. By using a descriptor technique, Lyapunov-Krasovskii functional and a suitable change of variables, new required sufficient conditions are established in terms of delay-dependent linear matrix inequalities (LMIs) to synthesize the residual generation scheme. Based on the Luenberger type observers, the explicit expression of the filters is derived for the fault such that both asymptotic stability and a prescribed level of disturbance attenuation are satisfied for all admissible nonlinear perturbations. A numerical example is provided to demonstrate the effectiveness and the applicability of the proposed method
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation.isformatof
Versió postprint del document publicat a: https://doi.org/10.1016/j.jfranklin.2010.03.004
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© Journal of the Franklin Institute, 2010, vol. 347, núm. 6, p. 957-973
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Articles publicats (D-EEEiA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
A linear matrix inequality approach to robust fault detection filter design of linear systems with mixed time-varying delays and nonlinear perturbations
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
dc.identifier.idgrec
013781
dc.type.peerreviewed
peer-reviewed