0391797 20240103202504.220130417235959.9 000182339400005 10.1002/acs.743 16 s. cav_un_epca*02567720890-6327172 (2003)133-148Wiley mixture od dynamic models Bayesian inference control design cav_un_auth*0213041 Quinn A. IR cav_un_auth*0212695 Ettler P. CZ cav_un_auth*0101119 Jirsa Ladislav Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0213012 Nagy I. CZ cav_un_auth*0101168 Nedoma Petr Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. IBS1075102 GA AV ČR CZ cav_un_auth*0014060 CEZ:AV0Z1075907 The paper deals with mixture modelling as a tool for estimation and control of real-world, multidimensional, dynamic, non-linear processes. The experience gained under the EU project ProDaCTool, in designing and implementing advisory systems in urban traffic regulation, therapy recommendations in nuclear medicine and operator support for metal-strip rolling mill are presented. 2014 BC http://hdl.handle.net/11104/0220791 2003 000182339400005 WOS cav_un_epca*0256772 International Journal of Adaptive Control and Signal Processing 0890-6327 1099-1115 Roč. 17 č. 2 2003 133 148 Wiley