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Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models
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SYSNO ASEP 0364544 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models Author(s) Nagy, I. (CZ)
Suzdaleva, Evgenia (UTIA-B) RID, ORCID
Mlynářová, Tereza (UTIA-B)Number of authors 3 Source Title Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Application. - Piscataway : IEEE, 2011 - ISBN 978-1-4577-1424-5 Pages s. 527-531 Number of pages 5 s. Publication form CD - CD Action 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications Event date 15.09.2011-17.09.2011 VEvent location Prague Country CZ - Czech Republic Event type WRD Language eng - English Country US - United States Keywords mixture models ; hidden Markov models ; state estimation ; online estimation Subject RIV BC - Control Systems Theory R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) TA01030123 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation Many various algorithms are developed for state estimation of dynamic switching systems. It is not a straightforward task to choose the most suitable one. This paper deals with testing of state estimation via two wellknown approaches: recursive estimation with finite mixtures and iterative technique with hidden Markov models. A discussion of comparison of these online and offline counterparts is of true interest. The paper describes experiments providing a comparison of these methods. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
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