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dc.contributor.authorQu, H
dc.contributor.authorYang, F
dc.contributor.authorHan, QL
dc.date.accessioned2020-04-23T03:35:30Z
dc.date.available2020-04-23T03:35:30Z
dc.date.issued2018
dc.identifier.isbn9781538666173
dc.identifier.doi10.1109/ANZCC.2018.8606605
dc.identifier.urihttp://hdl.handle.net/10072/393365
dc.description.abstractThis paper is concerned with the distributed H∞-consensus fault detection (FD) filtering problem for a class of discrete-time Takagi-Sugeno (T-S) fuzzy systems with faults, switching network topology, channel fading and different communication channels-induced packet dropouts with different missing rates. The purpose of the addressed problem is to design a distributed H∞-consensus FD filter to guarantee the sensitivity of the residual signal to the faults and the robustness of the residual system to effects of both switching network topology, channel fading and different communication channels-induced packet dropouts with different lossing rates. On the basis of the T-S fuzzy approach and the Lyapunov functional, distributed H∞-consensus FD filter design criterion is derived such that the residual system is exponentially stable in the mean square, and the optimal H∞ filtering performance index is derived. A simulation example is conducted to verify the usefulness of the proposed FD filter design approach.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencename2018 Australian & New Zealand Control Conference (ANZCC)
dc.relation.ispartofconferencetitle2018 Australian & New Zealand Control Conference (ANZCC)
dc.relation.ispartofdatefrom2018-12-07
dc.relation.ispartofdateto2018-12-08
dc.relation.ispartoflocationMelbourne, Australia
dc.relation.ispartofpagefrom312
dc.relation.ispartofpageto317
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchcode4602
dc.titleDistributed H∞-consensus fault detection for fuzzy systems with faults, switching network topology, packet dropouts and channel fading
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationQu, H; Yang, F; Han, QL, Distributed H∞-consensus fault detection for fuzzy systems with faults, switching network topology, packet dropouts and channel fading, 2018 Australian & New Zealand Control Conference (ANZCC), 2018, pp. 312-317
dc.date.updated2020-04-23T03:34:38Z
gro.hasfulltextNo Full Text
gro.griffith.authorYang, Fuwen


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