Active Fault Diagnosis for Jump Markov Nonlinear Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932677" target="_blank" >RIV/49777513:23520/17:43932677 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.ifacol.2017.08.1465" target="_blank" >https://doi.org/10.1016/j.ifacol.2017.08.1465</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2017.08.1465" target="_blank" >10.1016/j.ifacol.2017.08.1465</a>

Result language
angličtina
Original language name
Active Fault Diagnosis for Jump Markov Nonlinear Systems
Original language description
In this paper, a problem of active fault diagnosis for jump Markov nonlinear systems with non-Gaussian noises is considered. The imperfect state information formulation is transformed using sufficient statistics to a dynamical optimization problem that can be solved using approximate dynamic programming. The sfficient statistics are produced using the Bayesian recursive relations and particle flter algorithm. A special structure of approximate Bellman function is chosen to reduce a complexity caused by high dimension of statistics obtained from the particle filter. The proposed active fault detector design is compared with an extended Kalman flter based design in the simulation example.
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering

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)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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