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dc.contributor.authorWang, Jia
dc.contributor.authorZhang, Xian-Ming
dc.contributor.authorHan, Qing-Long
dc.date.accessioned2018-03-13T06:56:22Z
dc.date.available2018-03-13T06:56:22Z
dc.date.issued2016
dc.identifier.issn2162-237X
dc.identifier.doi10.1109/TNNLS.2015.2411734
dc.identifier.urihttp://hdl.handle.net/10072/171672
dc.description.abstractThis paper is concerned with event-triggered generalized dissipativity filtering for a neural network (NN) with a time-varying delay. The signal transmission from the NN to its filter is completed through a communication channel. It is assumed that the network measurement of the NN is sampled periodically. An event-triggered communication scheme is introduced to design a suitable filter such that precious communication resources can be saved significantly while certain filtering performance can be ensured. On the one hand, the event-triggered communication scheme is devised to select only those sampled signals violating a certain threshold to be transmitted, which directly leads to saving of precious communication resources. On the other hand, the filtering error system is modeled as a time-delay system closely dependent on the parameters of the event-triggered scheme. Based on this model, a suitable filter is designed such that certain filtering performance can be ensured, provided that a set of linear matrix inequalities are satisfied. Furthermore, since a generalized dissipativity performance index is introduced, several kinds of event-triggered filtering issues, such as H∞ filtering, passive filtering, mixed H∞ and passive filtering, (Q, S, R)-dissipative filtering, and L2-L∞ filtering, are solved in a unified framework. Finally, two examples are given to illustrate the effectiveness of the proposed method.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofpagefrom77
dc.relation.ispartofpageto88
dc.relation.ispartofissue1
dc.relation.ispartofjournalIEEE Transactions on Neural Networks and Learning Systems
dc.relation.ispartofvolume27
dc.subject.fieldofresearchCalculus of Variations, Systems Theory and Control Theory
dc.subject.fieldofresearchcode010203
dc.titleEvent-Triggered Generalized Dissipativity Filtering for Neural Networks With Time-Varying Delays
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorHan, Qing-Long
gro.griffith.authorZhang, Xian-Ming
gro.griffith.authorWang, John


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