Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11806
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dc.contributor.authorYang, H-
dc.contributor.authorWang, Z-
dc.contributor.authorShu, H-
dc.contributor.authorAlsaadi, FE-
dc.contributor.authorHayat, T-
dc.date.accessioned2016-01-07T12:00:41Z-
dc.date.available2015-11-
dc.date.available2016-01-07T12:00:41Z-
dc.date.issued2016-
dc.identifier.citationNeurocomputing,175, Part A, pp. 392–400, (2016)en_US
dc.identifier.issn0925-2312-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0925231215015301-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/11806-
dc.description.abstractThis paperinvestigatesthealmostsure H1 sliding mode control (SMC) problem for non linear stochastic systems with Markovian switching and time-delays. An integral sliding surface is first constructed for the addressed system. Then, by employing the topping time method combined with martingale in equalities, sufficient conditions are established to ensure the almost surely exponential stability and the H 1 performance of the system dynamics in the specified sliding surface. ASMC law is designed to guarantee the reach ability of the specified sliding surface almost surely. Furthermore, the obtained results are applied to a class of special nonlinear stochastic systems with Markovian switching and time-delays, where the desired SMC law is obtained in terms of the solutions to a set of matrix in equalities. Finally, a numerical example is given to show the effectiveness of the proposed SMC scheme.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectNonlinear stochastic systemsen_US
dc.subjectSliding mode controlen_US
dc.subjectMarkovian switchingen_US
dc.subjectAlmost surely exponential stabilityen_US
dc.titleAlmost sure H∞ sliding mode control for nonlinear stochastic systems with Markovian switching and time-delaysen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.neucom.2015.10.071-
dc.relation.isPartOfNeurocomputing-
pubs.publication-statusPublished-
pubs.publication-statusPublished-
Appears in Collections:Dept of Computer Science Research Papers

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