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Schmidt-Kalman Filters for Systems with Uncertain Parameters and Asynchronous Sampling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00324784" target="_blank" >RIV/68407700:21230/18:00324784 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Schmidt-Kalman Filters for Systems with Uncertain Parameters and Asynchronous Sampling

  • Original language description

    This paper introduces estimation algorithms for systems with uncertain parameters and asynchronous sampling. The algorithms are created by merging the Schmidt-Kalman filter (SKF) for systems with uncertain parameters and the conventional Kalman filter for systems with correlated noises. The system descriptions obtained by different discretization approaches are analyzed and used to develop the equivalent of the SKF. Then the SKF for systems with asynchronous sampling is developed by applying the SKF or its equivalent on the part of sampling period where the process and measurement noises are correlated. The accuracy of the novel filters is tested on a simple example.

  • 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/GA18-26278S" target="_blank" >GA18-26278S: Incorporation of Prior Knowledge for Identification of Nonlinear Systems</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • 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 18th International Conference on Control, Automation and Systems

  • ISBN

    978-89-93215-15-1

  • ISSN

    1598-7833

  • e-ISSN

    2093-7121

  • Number of pages

    6

  • Pages from-to

    357-362

  • Publisher name

    Institute of Control, Robotics and Systems (ICROS)

  • Place of publication

    Wonmi-gu, Gyeonggi-do

  • Event location

    YongPyong Resort in PyeongChang, GangWon

  • Event date

    Oct 17, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000457612300055