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    • State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties

    Benjamin Noack

    Band 14 von Karlsruhe Series on Intelligent Sensor-Actuator-Systems
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    State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.

    Umfang: XVIII, 257 S.

    Preis: €47.00 | £43.00 | $83.00

    Fächer:

    Informatik und Mathematik 

    Schlagwörter:

    Kalman filter set-membership estimation Bayesian state estimation distributed estimation

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    Empfohlene Zitierweise
    Noack, B. 2014. State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000036878
    Noack, B., 2014. State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000036878
    Noack, B. State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties. KIT Scientific Publishing, 2014. DOI: https://doi.org/10.5445/KSP/1000036878
    Noack, B. (2014). State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000036878
    Noack, Benjamin. 2014. State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000036878



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    Weitere Informationen

    Veröffentlicht am 2. Januar 2014

    Sprache

    Englisch

    Seitenanzahl:

    289

    ISBN
    Paperback 978-3-7315-0124-4

    DOI
    https://doi.org/10.5445/KSP/1000036878