Optimal relaxed causal sampling from system theoretic viewpoint

Hanumant Shekhawat, Gjerrit Meinsma

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    Abstract

    This paper studies the design of an optimal relaxed causal sampler using sampled data system theory. A lifted frequency domain approach is used to obtain the existence conditions and the optimal sampler. A state space formulation of the results is also provided. The resulting optimal relaxed causal sampler is a cascade of a linear continuous time system followed by a generalized sampler and a discrete system.
    Original languageUndefined
    Place of PublicationEnschede
    PublisherUniversity of Twente, Department of Applied Mathematics
    Number of pages35
    Publication statusPublished - 24 Sep 2014

    Publication series

    NameMemorandum of the Department of Applied Mathematics
    No.2037
    ISSN (Print)1874-4850

    Keywords

    • Optimal filtering
    • IR-91927
    • METIS-306035
    • EWI-25082
    • Sampling
    • Signal processing
    • Robust control

    Cite this

    Shekhawat, H., & Meinsma, G. (2014). Optimal relaxed causal sampling from system theoretic viewpoint. (Memorandum of the Department of Applied Mathematics; No. 2037). Enschede: University of Twente, Department of Applied Mathematics.