0411061 20240103182258.920060210235959.9 Mixture-based adaptive probabilistic control 14 s. cav_un_epca*02567720890-6327International Journal of Adaptive Control and Signal Processing172 (2003)119-132Wiley Bayesian identification fully probabilistic control finite mixtures cav_un_auth*0101124 Kárný Miroslav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101070 Böhm Josef UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 Guy Tatiana Valentine UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101168 Nedoma Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/prace/20030048.ps 09I IST-1999-12058 ProDaCTool XE GA102/02/0204 GA ČR cav_un_auth*0004106 GA102/00/P045 GA ČR cav_un_auth*0004058 CEZ:AV0Z1075907 The paper summarizes quasi-Bayes algorithm for mixture estimation combined with stabilized forgetting and fully probabilistic control design on the receding-horizon certainty equivalence principle strategy. The result is referred to as simultaneous design. BC AS http://hdl.handle.net/11104/0131148 UTIA-B 20030048 2003 cav_un_epca*0256772 International Journal of Adaptive Control and Signal Processing 0890-6327 1099-1115 Roč. 17 č. 2 2003 119 132 Wiley