Linear unbiased state estimation for random models with sensor delay

Edwin Yaz, Asok Ray

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

    65 Citations (Scopus)

    Abstract

    The motivation for the work reported in this paper accrues from the necessity of finding stabilizing control laws for systems with randomly varying distributed delays. It reports the development of full and reduced order linear unbiased estimators for discrete-time stochastic parameter systems and shows how to parametrize the estimator gains to achieve a certain estimation error covariance. Both finite-time and steady-state estimators are considered. The results are potentially applicable to state-estimate feedback control schemes for such systems.

    Original languageEnglish (US)
    Title of host publicationProceedings of the IEEE Conference on Decision and Control
    Editors Anon
    Volume1
    StatePublished - 1996
    EventProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4) - Kobe, Jpn
    Duration: Dec 11 1996Dec 13 1996

    Other

    OtherProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4)
    CityKobe, Jpn
    Period12/11/9612/13/96

    Fingerprint

    State estimation
    State feedback
    Error analysis
    Feedback control
    Sensors

    All Science Journal Classification (ASJC) codes

    • Chemical Health and Safety
    • Control and Systems Engineering
    • Safety, Risk, Reliability and Quality

    Cite this

    Yaz, E., & Ray, A. (1996). Linear unbiased state estimation for random models with sensor delay. In Anon (Ed.), Proceedings of the IEEE Conference on Decision and Control (Vol. 1)
    Yaz, Edwin ; Ray, Asok. / Linear unbiased state estimation for random models with sensor delay. Proceedings of the IEEE Conference on Decision and Control. editor / Anon. Vol. 1 1996.
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    Yaz, E & Ray, A 1996, Linear unbiased state estimation for random models with sensor delay. in Anon (ed.), Proceedings of the IEEE Conference on Decision and Control. vol. 1, Proceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4), Kobe, Jpn, 12/11/96.

    Linear unbiased state estimation for random models with sensor delay. / Yaz, Edwin; Ray, Asok.

    Proceedings of the IEEE Conference on Decision and Control. ed. / Anon. Vol. 1 1996.

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

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    AU - Ray, Asok

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    AB - The motivation for the work reported in this paper accrues from the necessity of finding stabilizing control laws for systems with randomly varying distributed delays. It reports the development of full and reduced order linear unbiased estimators for discrete-time stochastic parameter systems and shows how to parametrize the estimator gains to achieve a certain estimation error covariance. Both finite-time and steady-state estimators are considered. The results are potentially applicable to state-estimate feedback control schemes for such systems.

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    Yaz E, Ray A. Linear unbiased state estimation for random models with sensor delay. In Anon, editor, Proceedings of the IEEE Conference on Decision and Control. Vol. 1. 1996