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Measurement Difference Autocovariance Method for Noise Covariance Matrices Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929736" target="_blank" >RIV/49777513:23520/16:43929736 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CDC.2016.7798581" target="_blank" >http://dx.doi.org/10.1109/CDC.2016.7798581</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CDC.2016.7798296" target="_blank" >10.1109/CDC.2016.7798296</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measurement Difference Autocovariance Method for Noise Covariance Matrices Estimation

  • Original language description

    The paper deals with the estimation of the noise covariance matrices of a linear time-varying system described by the state-space model. In particular, the stress is laid on the correlation methods and a novel method, the measurement difference autocovariance method, is proposed. The proposed method is based on the statistical analysis of differenced linearly transformed and shifted measurements resulting in a system of linear matrix equations. Compared to other correlation methods, the proposed method provides unbiased estimates even for a finite number of measurements. The theoretical results are discussed and illustrated in numerical examples.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 55th IEEE Conference on Decision and Control (CDC)

  • ISBN

    978-1-5090-1837-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    365-370

  • Publisher name

    IEEE

  • Place of publication

    neuveden

  • Event location

    Las Vegas, USA

  • Event date

    Dec 12, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000400048100060