Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models

0364544 - ÚTIA 2012 RIV US eng C - Conference Paper (international conference)
Nagy, I. - Suzdaleva, Evgenia - Mlynářová, Tereza
Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models.
Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Application. Piscataway: IEEE, 2011, s. 527-531. ISBN 978-1-4577-1424-5.
[6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. Prague (CZ), 15.09.2011-17.09.2011]
R&D Projects: GA MŠMT 1M0572; GA TA ČR TA01030123
Institutional research plan: CEZ:AV0Z10750506
Keywords : mixture models * hidden Markov models * state estimation * online estimation
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2011/AS/nagy-comparison of state estimation using finite mixtures and hidden markov models.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0200007