dc.contributor.authorZhu, Xun-Lin
dc.contributor.authorChen, Bing
dc.contributor.authorYue, Dong
dc.contributor.authorWang, Youyi
dc.date.accessioned2013-12-16T07:42:32Z
dc.date.available2013-12-16T07:42:32Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10220/18268
dc.description.abstractIn this paper, we investigate the problem of stabilization for sampled-data fuzzy systems under variable sampling. A novel Lyapunov-Krasovskii functional (LKF) is defined to capture the characteristic of sampled-data systems, and an improved input delay approach is proposed. By the use of an appropriate enlargement scheme, new stability and stabilization criteria are obtained in terms of linear matrix inequalities (LMIs). Compared with the existing results, the newly obtained ones contain less conservatism. Some illustrative examples are given to show the effectiveness of the proposed method and the significant improvement on the existing results.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesIEEE transactions on fuzzy systemsen_US
dc.titleAn improved input delay approach to stabilization of fuzzy systems under variable samplingen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/TFUZZ.2011.2174242


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