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Nonlinear Estimation Framework: a Versatile Tool for State Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919237" target="_blank" >RIV/49777513:23520/13:43919237 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6669959" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6669959</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Nonlinear Estimation Framework: a Versatile Tool for State Estimation

  • Original language description

    The paper presents MATLAB based software framework designed for nonlinear state estimation of discrete-time dynamic systems. The framework is designed to facilitate implementation, testing and use of various nonlinear state estimation methods. It allowssimple description of the problem, specification of estimation experiment and processing the resulting data in order to simply compare various estimators. The aim of the paper is to get acquainted with the possibilities of the toolbox. It will demonstrate the easy and natural way in which the estimation problem can be described within the means provided by the framework. Two examples of target tracking will be demonstrated with the estimation experiment setup using the presented framework.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F11%2F1353" target="_blank" >GAP103/11/1353: State Estimation of Dynamic Stochastic Systems</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    201318th International Conference on Methods and Models in Automation and Robotics

  • ISBN

    978-1-4673-5506-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    490-495

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Międzyzdroje, Poland

  • Event date

    Aug 26, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article