Active fault detection for neural network based control of non-linear stochastic systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A43898283" target="_blank" >RIV/49777513:23520/09:43898283 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3182/20090630-4-ES-2003.00021" target="_blank" >http://dx.doi.org/10.3182/20090630-4-ES-2003.00021</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3182/20090630-4-ES-2003.00021" target="_blank" >10.3182/20090630-4-ES-2003.00021</a>

Result language

angličtina

Original language name

Active fault detection for neural network based control of non-linear stochastic systems

Original language description

This paper deals with design of active fault detection of non-linear stochastic systems. As general solution of the problem is extremely difficult, a special case of active detector design for a given set of controllers for jump Markov non-linear Gaussian models is considered. The optimal active detector for a given set of controllers is intractable and therefore, the rolling horizon technique will be used to reduce computational costs. The system is modelled using a multi-layer perceptron neural network where structure and unknown parameters are obtained by means of an off-line training process based on the extended Kalman filter estimation method and structure optimization using pruning of the insignificant connections. The proposed active detector is compared with a passive one based on open-loop feedback strategy and the performance is illustrated in an example by simulation and Monte Carlo analysis.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2009

Confidentiality

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

Name of the periodical

IFAC-PapersOnline

ISSN

1474-6670

e-ISSN

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Volume of the periodical

Neuveden

Issue of the periodical within the volume

1

Country of publishing house

ES - SPAIN

Number of pages

6

Pages from-to

125-130

UT code for WoS article

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EID of the result in the Scopus database

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