Exponential input-to-state stability for hybrid dynamical networks via impulsive interconnection

Bin Liu*, David J. Hill, Yunlian Sun

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    This paper investigates the problem of exponential input-to-state stability (e-ISS) for hybrid dynamical networks (HDN) via impulsive interconnection. New concepts of input-to-state exponent property (IS-E) and augmented time are proposed for dynamical systems and hybrid systems respectively. By using IS-E estimations of nodes in HDN and methods such as multiple Lyapunov functions and hybrid time, two types of e-ISS criteria for continuous-time/discrete-time HDN are established respectively. The requirements on ISS property of every subsystem and small-gain condition for interconnection in interconnected systems or networks in the literature is relaxed. The obtained e-ISS results are extended to the case of delayed impulsive interconnection. One representative example is given to illustrate the theoretical results.

    Original languageEnglish
    Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages673-678
    Number of pages6
    ISBN (Print)9781424477456
    DOIs
    Publication statusPublished - 2010
    Event49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, United States
    Duration: 15 Dec 201017 Dec 2010

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control
    ISSN (Print)0743-1546
    ISSN (Electronic)2576-2370

    Conference

    Conference49th IEEE Conference on Decision and Control, CDC 2010
    Country/TerritoryUnited States
    CityAtlanta
    Period15/12/1017/12/10

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