Infinite Time Horizon Active Fault Diagnosis based on Approximate Dynamic Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926644" target="_blank" >RIV/49777513:23520/15:43926644 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CDC.2015.7402915" target="_blank" >http://dx.doi.org/10.1109/CDC.2015.7402915</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CDC.2015.7402915" target="_blank" >10.1109/CDC.2015.7402915</a>
Alternative languages
Result language
angličtina
Original language name
Infinite Time Horizon Active Fault Diagnosis based on Approximate Dynamic Programming
Original language description
The paper deals with designing an approximate active fault detector for stochastic linear Markovian switching systems over an infinite time horizon. The problem is formulated as a functional optimization problem that can be solved using approximate dynamic programming. First, the Generalized Pseudo Bayes (GPB) algorithm is employed to solve the state estimation problem. Then the original formulation is restated by introducing a hyper-state that comprises a finite dimensional statistics obtained from the GPB algorithm. Since the hyper-state is of a higher dimension, a nonparametric local approximation of the Bellman function is used together with the value iteration algorithm to design the approximate active fault detector. The performance of the designed approximate active fault detector is demonstrated through a numerical example.
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
2015
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 IEEE Conference on Decision and Control
ISBN
978-1-4799-7886-1
ISSN
0191-2216
e-ISSN
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Number of pages
6
Pages from-to
4456-4461
Publisher name
IEEE
Place of publication
Kjotó
Event location
Osaka, Japan
Event date
Dec 15, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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