Optimal relaxed causal sampler using sampled-date system theory

Hanumant Shekhawat, Gjerrit Meinsma

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

    20 Downloads (Pure)

    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
    Title of host publicationProceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012
    Place of PublicationMelbourne
    PublisherThink Business Events
    Pages220
    Number of pages8
    ISBN (Print)978-0-646-58062-3
    Publication statusPublished - Jul 2012
    Event20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012 - Melbourne, Australia
    Duration: 9 Jul 201213 Jul 2012
    Conference number: 20

    Publication series

    Name
    PublisherThink Business Events

    Conference

    Conference20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012
    Abbreviated titleMTNS
    CountryAustralia
    CityMelbourne
    Period9/07/1213/07/12

    Keywords

    • EWI-22848
    • IR-83489
    • Inner-outer factorization
    • METIS-296201
    • Sampled-data systems
    • Lifting
    • Coprime-factorization

    Cite this

    Shekhawat, H., & Meinsma, G. (2012). Optimal relaxed causal sampler using sampled-date system theory. In Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012 (pp. 220). Melbourne: Think Business Events.
    Shekhawat, Hanumant ; Meinsma, Gjerrit. / Optimal relaxed causal sampler using sampled-date system theory. Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012. Melbourne : Think Business Events, 2012. pp. 220
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    keywords = "EWI-22848, IR-83489, Inner-outer factorization, METIS-296201, Sampled-data systems, Lifting, Coprime-factorization",
    author = "Hanumant Shekhawat and Gjerrit Meinsma",
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    Shekhawat, H & Meinsma, G 2012, Optimal relaxed causal sampler using sampled-date system theory. in Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012. Think Business Events, Melbourne, pp. 220, 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012, Melbourne, Australia, 9/07/12.

    Optimal relaxed causal sampler using sampled-date system theory. / Shekhawat, Hanumant; Meinsma, Gjerrit.

    Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012. Melbourne : Think Business Events, 2012. p. 220.

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

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    N2 - 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.

    AB - 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.

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    KW - IR-83489

    KW - Inner-outer factorization

    KW - METIS-296201

    KW - Sampled-data systems

    KW - Lifting

    KW - Coprime-factorization

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    BT - Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012

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    Shekhawat H, Meinsma G. Optimal relaxed causal sampler using sampled-date system theory. In Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2012. Melbourne: Think Business Events. 2012. p. 220