0411258 20240103182313.420060210235959.9 11 s. cav_un_epca*02567131350-23791506 (2003)643-653 prior knowledge structure estimation autoregressive models 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*0101168 Nedoma Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101126 Khailova Natalia UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101175 Pavelková Lenka UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/historie/karny-0411258.pdf 09I IBS1075102 GA AV ČR cav_un_auth*0014060 IBS1075351 GA AV ČR cav_un_auth*0001804 GA102/03/0049 GA ČR cav_un_auth*0001805 CEZ:AV0Z1075907 The problem of a joint quantification of prior knowledge and structure estimation is solved within the dynamic exponential family of models. The result is elaborated for normal controlled autoregressive models (ARX) and illustrated on a simulated example. The problem arisen as a substantial ingredients of automatic commission of adaptive controllers that is described in a companion paper. From this perspective, the paper serves also as an illustration of technology used within this broader context. BC AS http://hdl.handle.net/11104/0131343 UTIA-B 20030245 2003 cav_un_epca*0256713 IEE Proceedings. Control Theory and Applications 1350-2379 Roč. 150 č. 6 2003 643 653 do 2007