Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/125599
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dc.contributor.authorTang, Y.en
dc.contributor.authorWu, X.en
dc.contributor.authorShi, P.en
dc.contributor.authorQian, F.en
dc.date.issued2020en
dc.identifier.citationAutomatica, 2020; 113:108766-1-108766-12en
dc.identifier.issn0005-1098en
dc.identifier.issn1873-2836en
dc.identifier.urihttp://hdl.handle.net/2440/125599-
dc.description.abstractIn this study, the problem of input-to-state stability (ISS) is systematically investigated for nonlinear systems with stochastic impulses. First, the ISS problem is considered for systems, where impulsive strengths are assumed to be stochastic and impulsive intervals are confined by the average impulsive interval. Then, the ISS problem is analyzed for nonlinear systems with both stochastic impulsive intensity and density. Several different cases are considered, i.e., cases where the impulsive instants are satisfied by a renewal process, Poisson process, semi-Markov chain and Markov chain. An example of coordination of multi-agent systems is provided to illustrate the effectiveness of the proposed new stability criteria.en
dc.description.statementofresponsibilityYang Tang, Xiaotai Wu, Peng Shi, Feng Qianen
dc.language.isoenen
dc.publisherElsevieren
dc.rights© 2019 Elsevier Ltd. All rights reserved.en
dc.subjectNonlinear systems; input-to-state stability; impulsive systems; Markov process; stochastic processen
dc.titleInput-to-state stability for nonlinear systems with stochastic impulsesen
dc.typeJournal articleen
dc.identifier.doi10.1016/j.automatica.2019.108766en
pubs.publication-statusPublisheden
dc.identifier.orcidShi, P. [0000-0001-8218-586X]en
Appears in Collections:Aurora harvest 4
Electrical and Electronic Engineering publications

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