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Estimation of parameters of one-step predictor with particle filter method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU114708" target="_blank" >RIV/00216305:26220/15:PU114708 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S2405896315008186" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896315008186</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ifacol.2015.07.043" target="_blank" >10.1016/j.ifacol.2015.07.043</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of parameters of one-step predictor with particle filter method

  • Original language description

    This paper is focused on estimation of the parameters of a system with non-Gaussian noise. Firstly, the Bayesian inference is described and the method of the particle filters is introduced which is directly based on the Bayesian inference. The particle filters method numrically solve a problem of a recursive Bayesian state estimator. Secondly, the method for transformation of a random variables is introduced which changes the relative likelihood of the particle filters according to the distribution of the measurement noise. Thirdly, recursive least square method is derived and linear one-step predictor is described. Fourthly, parameters of the one-step predictor are estimated online with two methods that were mention before. The outputs of both methods are compared and results are discussed. The particle filters method with random variables is analyzed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    13th IFAC Conference on Programmable Devices and Embedded Systems - PDeS 2015

  • ISBN

  • ISSN

    1474-6670

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    256-261

  • Publisher name

    Silesian University of Technology, Poland

  • Place of publication

    Cracow, Poland

  • Event location

    Krakow

  • Event date

    May 13, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000375804500044