Infinite Horizon Active Fault Diagnosis for a Class of Non-Linear Non-Gaussian Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43924342" target="_blank" >RIV/49777513:23520/14:43924342 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.2478/amcs-2014-0059" target="_blank" >http://dx.doi.org/10.2478/amcs-2014-0059</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/amcs-2014-0059" target="_blank" >10.2478/amcs-2014-0059</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Infinite Horizon Active Fault Diagnosis for a Class of Non-Linear Non-Gaussian Systems

Popis výsledku v původním jazyce

The paper considers the problem of active fault diagnosis for discrete-time stochastic systems over an infinite time horizon. It is assumed that the switching between a fault-free and finitely many faulty conditions can be modelled by a finite-state Markov chain and the continuous dynamics of the observed system can be described for the fault-free and each faulty condition by non-linear non-Gaussian models with a fully observed continuous state. The design of an optimal active fault detector that generates decisions and inputs improving the quality of detection is formulated as a dynamic optimization problem. As the optimal solution obtained by dynamic programming requires solving the Bellman functional equation, approximate techniques are employed toobtain a suboptimal active fault detector.

Název v anglickém jazyce

Infinite Horizon Active Fault Diagnosis for a Class of Non-Linear Non-Gaussian Systems

Popis výsledku anglicky

The paper considers the problem of active fault diagnosis for discrete-time stochastic systems over an infinite time horizon. It is assumed that the switching between a fault-free and finitely many faulty conditions can be modelled by a finite-state Markov chain and the continuous dynamics of the observed system can be described for the fault-free and each faulty condition by non-linear non-Gaussian models with a fully observed continuous state. The design of an optimal active fault detector that generates decisions and inputs improving the quality of detection is formulated as a dynamic optimization problem. As the optimal solution obtained by dynamic programming requires solving the Bellman functional equation, approximate techniques are employed toobtain a suboptimal active fault detector.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/GPP103%2F11%2FP407" target="_blank" >GPP103/11/P407: Integrovaný návrh systému aktivní detekce změn a řízení</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

International Journal of Applied Mathematics and Computer Science

ISSN

1641-876X

e-ISSN

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Svazek periodika

24

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

13

Strana od-do

"795?807"

Kód UT WoS článku

000348144200008

EID výsledku v databázi Scopus

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