Recursive state estemation for hybrid systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F12%3A00195259" target="_blank" >RIV/68407700:21260/12:00195259 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.apm.2011.08.042" target="_blank" >http://dx.doi.org/10.1016/j.apm.2011.08.042</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.apm.2011.08.042" target="_blank" >10.1016/j.apm.2011.08.042</a>

Result language
angličtina
Original language name
Recursive state estemation for hybrid systems
Original language description
The paper deals with recursive state estimation for hybrid systems. An unobservable state of such systems is changed both in a continuous and a discrete way. Fast and efficient online estimation of hybrid system state is desired in many application areas. The presented paper proposes to look at this problem via Bayesian filtering in the factorized (decomposed) form. General recursive solution is proposed as the probability density function, updated entry-wise. The paper summarizes general factorized filter specialized for (i) normal state-space models; (ii) multinomial state-space models with discrete observations; and (iii) hybrid systems. Illustrative experiments and comparison with one of the counterparts are provided.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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