Bibliografie

Conference Paper (international conference)

Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models

Nagy I., Suzdaleva Evgenia, Mlynářová Tereza

: Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Application, p. 527-531

: 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, (Prague, CZ, 15.09.2011-17.09.2011)

: CEZ:AV0Z10750506

: 1M0572, GA MŠk, TA01030123, GA TA ČR

: mixture models, hidden Markov models, state estimation, online estimation

: http://library.utia.cas.cz/separaty/2011/AS/nagy-comparison of state estimation using finite mixtures and hidden markov models.pdf

(eng): 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.

: BC