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Efficient adaptation of design parameters of derivative-free filters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929092" target="_blank" >RIV/49777513:23520/16:43929092 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1134/S0005117916020041" target="_blank" >http://dx.doi.org/10.1134/S0005117916020041</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1134/S0005117916020041" target="_blank" >10.1134/S0005117916020041</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient adaptation of design parameters of derivative-free filters

  • Original language description

    The paper deals with state estimation of nonlinear discrete time stochastic dynamic systems with a focus on derivative-free filters. Design parameters of the filters are treated and an efficient way for their adaptation is proposed. The efficiency is based on observing a degree of nonlinearity of the nonlinear state and measurement functions at the working point by means of a non-Gaussianity measure. The adaptation is executed only if the nonlinearity is severe and the design parameter adaptation may bring a significant improvement of the estimate quality. Otherwise the adaptation is switched off to keep computational complexity of the filter low. The developed algorithm is illustrated using a numerical example of bearings-only target tracking.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-12068S" target="_blank" >GA15-12068S: Adaptive Approaches to State Estimation of Nonlinear Stochastic Systems</a><br>

  • 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

  • Name of the periodical

    Automation and Remote Control

  • ISSN

    0005-1179

  • e-ISSN

  • Volume of the periodical

    77

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    RU - RUSSIAN FEDERATION

  • Number of pages

    16

  • Pages from-to

    261-276

  • UT code for WoS article

    000370333000004

  • EID of the result in the Scopus database

    2-s2.0-84958279511