Optimal Active Fault Diagnosis by Temporal-Difference Learning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929733" target="_blank" >RIV/49777513:23520/16:43929733 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CDC.2016.7798581" target="_blank" >http://dx.doi.org/10.1109/CDC.2016.7798581</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CDC.2016.7798581" target="_blank" >10.1109/CDC.2016.7798581</a>

Result language
angličtina
Original language name
Optimal Active Fault Diagnosis by Temporal-Difference Learning
Original language description
In this paper, a novel solution to the active fault diagnosis problem for stochastic linear Markovian switching systems on the infinite-time horizon is proposed. The imperfect state information problem of designing an active fault detector that minimizes a general detection cost criterion is reformulated as the perfect state information problem using sufficient statistics. The reformulation decreases theoretical complexity and enables to find a suboptimal solution by dynamic programming. However, classical approaches are computationally complex or fail to identify the most representative states of the system. This paper combines the active fault detection, state estimation, and reinforcement learning. In the proposed algorithm, temporal difference learning is used to train the active fault detector based on input-output data from the system simulation. The designed detector can be then used online. A numerical example is presented to verify the proposed algorithm.
Czech name
—
Czech description
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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

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 55th IEEE Conference on Decision and Control (CDC)
ISBN
978-1-5090-1837-6
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
2146-2151
Publisher name
IEEE
Place of publication
neuveden
Event location
Las Vegas, USA
Event date
Dec 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000400048102053

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