State and event estimation for regime-switching systems under irregular and random sampling schemes

Wei Feng, Leyi Wang

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Estimation of states and events in randomly switching systems is studied under irregular and random sampling schemes. Probabilistic characterization of observability is presented under various sampling schemes and regime-switching processes. The characterization is derived on the basis of our recent results on sampling complexity for system observability. Observer design and algorithms are developed.
    Original languageEnglish
    Pages (from-to)15-40
    Number of pages26
    JournalCommunications in Information and Systems
    Volume12
    Issue number1
    Publication statusPublished - 2012

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