0360430 20240111140756.920110711235959.9 8 s. CD cav_un_epca*0360429978-88-467-3045-91299-1306RomeFaculty of Economics of the University of Rome “La Sapienza”2011 state estimation online filtering hybrid systems 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*0101167 Nagy Ivan 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*0267374 Dungl Martin Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2011/AS/suzdaleva-online filtering for hybrid systems.pdf 1M0572 GA MŠk cav_un_auth*0001814 CEZ:AV0Z10750506 The paper deals with online state estimation for dynamic hybrid systems with mixed continuous and discrete states. The proposed solution is based on a decomposed version of the state-space model and Bayesian filtering. Specialization to Gaussian linear dynamic and multinomial state-space models is described. Experiments with real data illustrating the presented approach are provided. cav_un_auth*0272717 14th Applied Stochastic Models and Data Analysis Conference Rome 07.06.2011-10.06.2011 IT 2012 BC http://hdl.handle.net/11104/0197988 2011 pdf cav_un_epca*0360429 Proceedings of the 14th Applied Stochastic Models and Data Analysis Conference (ASMDA2011) 978-88-467-3045-9 1299 1306 Rome Faculty of Economics of the University of Rome “La Sapienza” 2011