Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/113999
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dc.contributor.authorAli, M.-
dc.contributor.authorGunasekaran, N.-
dc.contributor.authorAhn, C.-
dc.contributor.authorShi, P.-
dc.date.issued2018-
dc.identifier.citationIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018; 15(1):271-285-
dc.identifier.issn1545-5963-
dc.identifier.issn1557-9964-
dc.identifier.urihttp://hdl.handle.net/2440/113999-
dc.descriptionDate of publication 7 Sept. 2016-
dc.description.abstractThis paper deals with the sampled-data stabilization problem for Takagi-Sugeno (T-S) fuzzy genetic regulatory networks with leakage delays. A novel Lyapunov-Krasovskii functional (LKF) is established by the non-uniform division of the delay intervals with triplex and quadruplex integral terms. Using such LKFs for constant and time-varying delay cases, new stability conditions are obtained in the T-S fuzzy framework. Based on this, a new condition for the sampled-data controller design is proposed using a linear matrix inequality representation. A numerical result is provided to show the effectiveness and potential of the developed design method.-
dc.description.statementofresponsibilityM. Syed Ali, N. Gunasekaran, Choon Ki Ahn, and Peng Shi-
dc.language.isoen-
dc.publisherIEEE-
dc.rights© 2016 IEEE-
dc.subjectGenetic regulatory network; interval time-varying delay; sampled-data stabilization; Takagi-Sugeno fuzzy model-
dc.titleSampled-data stabilization for fuzzy genetic regulatory networks with leakage delays-
dc.typeJournal article-
dc.identifier.doi10.1109/TCBB.2016.2606477-
dc.relation.grant61573112-
dc.relation.grantU1509217-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140102180-
dc.relation.granthttp://purl.org/au-research/grants/arc/LP140100471-
pubs.publication-statusPublished-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
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Electrical and Electronic Engineering publications

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