@misc{Punčochář_Ivo_On,
 author={Punčochář, Ivo and Šimandl, Miroslav},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={The paper considers the problem of active fault diagnosis for discrete-time stochastic systems over an infinite time horizon. It is assumed that the switching between a fault-free and finitely many faulty conditions can be modelled by a finite-state Markov chain and the continuous dynamics of the observed system can be described for the fault-free and each faulty condition by non-linear non-Gaussian models with a fully observed continuous state.},
 abstract={The design of an optimal active fault detector that generates decisions and inputs improving the quality of detection is formulated as a dynamic optimization problem. As the optimal solution obtained by dynamic programming requires solving the Bellman functional equation, approximate techniques are employed to obtain a suboptimal active fault detector.},
 type={artykuł},
 title={On infinite horizon active fault diagnosis for a class of non-linear non-Gaussian systems},
 keywords={active fault detection, non-linear stochastic systems, optimal input design, dynamic programming},
}