Policy search for active fault diagnosis with partially observable state
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965811" target="_blank" >RIV/49777513:23520/22:43965811 - isvavai.cz</a>
Result on the web
<a href="https://dx.doi.org/10.1002/acs.3456" target="_blank" >https://dx.doi.org/10.1002/acs.3456</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/acs.3456" target="_blank" >10.1002/acs.3456</a>
Alternative languages
Result language
angličtina
Original language name
Policy search for active fault diagnosis with partially observable state
Original language description
The article deals with a novel design of an active fault detector (AFD) for a nonlinear stochastic system with a partially observable state. The imperfect state information problem is converted to a perfect state information problem using a state estimator. Subsequently, the problem is decomposed into separate tasks of an optimal fault detector design and an approximate input generator design using a dynamic programming technique. While the former task is straightforward, the latter represents a nonlinear functional optimization problem. The input generator is approximated by a multi-layer perceptron neural network, and its unknown parameters are found using the policy search method. Effectiveness of the proposed AFD design is demonstrated numerically on a pendulum system and a heating/cooling system.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA18-08531S" target="_blank" >GA18-08531S: Active approach to fault diagnosis in stochastic large-scale systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Adaptive Control and Signal Processing
ISSN
0890-6327
e-ISSN
1099-1115
Volume of the periodical
36
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
2190-2216
UT code for WoS article
000811389500001
EID of the result in the Scopus database
2-s2.0-85131886551