0371119 20240111140808.320120120235959.9 000300120900001 10.1016/j.apm.2011.08.042 12 s. www cav_un_epca*02520560307-904X364 (2012)Elsevier recursive state estimation hybrid systems state-space model filtering mixed data cav_un_auth*0108105 Suzdaleva Evgenia Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0213012 Nagy I. CZ pdf http://library.utia.cas.cz/separaty/2012/AS/suzdaleva-recursive state estimation for hybrid systems.pdf 1M0572 GA MŠk cav_un_auth*0001814 TA01030123 GA TA ČR cav_un_auth*0271776 CEZ:AV0Z10750506 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. 2012 BC 2 http://hdl.handle.net/11104/0204733 ENGINEERINGMULTIDISCIPLINARY|MATHEMATICSINTERDISCIPLINARYAPPLICATIONS|MECHANICS 1.674 0.463 3.7 0.01503 0.542 4089 497 37 0.889 28.83 2.17 Q1 46.88 82.061 Q3 Q2 2012 000300120900001 WOS pdf cav_un_epca*0252056 Applied Mathematical Modelling 0307-904X 1872-8480 Roč. 36 č. 4 2012 1347–1358 Elsevier