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Input Design for Fault Detection Using Extended Kalman Filter and Reinforcement Learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932676" target="_blank" >RIV/49777513:23520/17:43932676 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.ifacol.2017.08.1461" target="_blank" >http://dx.doi.org/10.1016/j.ifacol.2017.08.1461</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ifacol.2017.08.1461" target="_blank" >10.1016/j.ifacol.2017.08.1461</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Input Design for Fault Detection Using Extended Kalman Filter and Reinforcement Learning

  • Original language description

    The paper deals with an active fault detection problem for jump Markov nonlinear systems with Gaussian noises. The problem is formulated as a functional optimization problem over an infinite-time horizon with a general discounted detection criterion. The design of an active fault detector is performed in two steps. First, the original problem is recast as a perfect state information problem by complementing the nonlinear system with a suboptimal state estimator based on a bank of extended Kalman Filters. Then, a temporal-difference learning algorithm is used to train the active fault detector such that the criterion is minimized. A simulation example of a differential wheeled robot is used to illustrate the performance of the proposed design.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20200 - Electrical engineering, Electronic engineering, Information engineering

Result continuities

  • Project

    <a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IFAC-PapersOnLine

  • ISSN

    2405-8963

  • e-ISSN

  • Volume of the periodical

    50

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    6

  • Pages from-to

    7302-7307

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85031783964