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Performance Evaluation of Nonlinearity and Non-Gaussianity Measures in State Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932588" target="_blank" >RIV/49777513:23520/17:43932588 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.23919/ICIF.2017.8009699" target="_blank" >http://dx.doi.org/10.23919/ICIF.2017.8009699</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/ICIF.2017.8009699" target="_blank" >10.23919/ICIF.2017.8009699</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Performance Evaluation of Nonlinearity and Non-Gaussianity Measures in State Estimation

  • Original language description

    The paper deals with the state estimation of nonlinear stochastic dynamic systems. The stress is laid on the assessment of the estimate error, which is caused by the violation of the estimator design assumptions. The assessment is based on measures comparing estimators actual working conditions and the assumptions under which the estimators have been proposed. In particular, the measures of nonlinearity and non-Gaussianity are discussed. The measures are briefly introduced and selected typical representatives are detailed with respect to their implementation. Performance of the measures is evaluated in the framework of the Gaussian filters in a numerical study.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GC16-19999J" target="_blank" >GC16-19999J: Cooperative Approaches to Design of Nonlinear Filters</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • 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 20th International Conference on Information Fusion

  • ISBN

    978-0-9964527-0-0

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    564-573

  • Publisher name

    IEEE

  • Place of publication

    Xi&apos;an

  • Event location

    Xi&apos;an, Čína

  • Event date

    Jul 10, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000410938300081