Temporal-Difference Q-learning in Active Fault Diagnosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929230" target="_blank" >RIV/49777513:23520/16:43929230 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SYSTOL.2016.7739765" target="_blank" >http://dx.doi.org/10.1109/SYSTOL.2016.7739765</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SYSTOL.2016.7739765" target="_blank" >10.1109/SYSTOL.2016.7739765</a>
Alternative languages
Result language
angličtina
Original language name
Temporal-Difference Q-learning in Active Fault Diagnosis
Original language description
The paper deals with a novel design of an approximate active fault detector for discrete-time stochastic linear Markovian switching systems on the infinite-time horizon. The problem is formulated as an optimization problem with the aim to minimize a general discounted detection cost criterion. The proposed solution is inspired by approximate dynamic programming and reinforcement learning. The active fault detector is trained by a temporal-difference Q-learning algorithm with a linear parametric Q-function approximation adjusted to fit the true Q-function. The main advantage is that this approach is computationally less expensive than a temporal-difference learning with a value function.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
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
2016
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 2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)
ISBN
978-1-5090-0658-8
ISSN
2162-1195
e-ISSN
—
Number of pages
6
Pages from-to
287-292
Publisher name
IEEE
Place of publication
New York
Event location
Barcelona, Spain
Event date
Sep 7, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391868600045