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Article: Stability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks

TitleStability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks
Authors
Meng, MLam, JFeng, JCheung, KC
KeywordsAverage dwell time
Guaranteed cost analysis
Semitensor product (STP)
Time-triggered Boolean networks (BNs)
Issue Date2018
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=72
Citation
IEEE Transactions on Neural Networks and Learning Systems, 2018, v. 29 n. 8, p. 3893-3899 How to Cite?
DOI: http://dx.doi.org/10.1109/TNNLS.2017.2737649
AbstractThis paper investigates stability and guaranteed cost of time-triggered Boolean networks (BNs) based on the semitensor product of matrices. The time triggering is generated by mode-dependent average dwell-time switching signals in the BNs. With the help of the copositive Lyapunov function, a sufficient condition is derived to ensure that the considered network is globally stable under a designed average dwell-time switching signal. Subsequently, an infinite time cost function is further discussed and its bound is presented according to the obtained stability result. Numerical examples are finally given to show the feasibility of the theoretical results.
Persistent Identifierhttp://hdl.handle.net/10722/272271
ISSN
2162-237X
2021 Impact Factor: 14.255
2020 SCImago Journal Rankings: 2.882
ISI Accession Number ID
WOS:000439627700049

 

DC FieldValueLanguage
dc.contributor.authorMeng, M-
dc.contributor.authorLam, J-
dc.contributor.authorFeng, J-
dc.contributor.authorCheung, KC-
dc.date.accessioned2019-07-20T10:39:01Z-
dc.date.available2019-07-20T10:39:01Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Neural Networks and Learning Systems, 2018, v. 29 n. 8, p. 3893-3899-
dc.identifier.issn2162-237X-
dc.identifier.urihttp://hdl.handle.net/10722/272271-
dc.description.abstractThis paper investigates stability and guaranteed cost of time-triggered Boolean networks (BNs) based on the semitensor product of matrices. The time triggering is generated by mode-dependent average dwell-time switching signals in the BNs. With the help of the copositive Lyapunov function, a sufficient condition is derived to ensure that the considered network is globally stable under a designed average dwell-time switching signal. Subsequently, an infinite time cost function is further discussed and its bound is presented according to the obtained stability result. Numerical examples are finally given to show the feasibility of the theoretical results.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=72-
dc.relation.ispartofIEEE Transactions on Neural Networks and Learning Systems-
dc.subjectAverage dwell time-
dc.subjectGuaranteed cost analysis-
dc.subjectSemitensor product (STP)-
dc.subjectTime-triggered Boolean networks (BNs)-
dc.titleStability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks-
dc.typeArticle-
dc.identifier.emailLam, J: jlam@hku.hk-
dc.identifier.emailCheung, KC: kccheung@hku.hk-
dc.identifier.authorityLam, J=rp00133-
dc.identifier.authorityCheung, KC=rp01322-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TNNLS.2017.2737649-
dc.identifier.pmid28880194-
dc.identifier.scopuseid_2-s2.0-85029158280-
dc.identifier.hkuros299322-
dc.identifier.volume29-
dc.identifier.issue8-
dc.identifier.spage3893-
dc.identifier.epage3899-
dc.identifier.isiWOS:000439627700049-
dc.publisher.placeUnited States-
dc.identifier.issnl2162-237X-

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