0411189 20240111140636.220060210235959.9 0-88986-339-3 Calgary Acta Press 2003 CD-ROM 554-559HamzaM. H. adaptive control optimization LQG controller cav_un_auth*0101169 Novák Miroslav UTIA-B 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. 1.2 MB 09I GA102/02/0204 GA ČR cav_un_auth*0004106 CEZ:AV0Z1075907 The proper work of model based controller such as LQG or GPC one depends on its right setting expressed by so called tuning knobs. It is often difficult to set these knobs well, mainly for non˙experts, especially in MIMO case where the number of knobs rapidly increases. Accurate tuning is hardly possible using trial and error method. A stochastic optimization method for tuning an adaptive LQG controller is applied for solving this problem. cav_un_auth*0213102 IASTED International Conference on Modelling, Identification and Control /22./ Innsbruck AT 10.02.2003-13.02.2003 BC AS http://hdl.handle.net/11104/0131275 UTIA-B 20030176 2003 2003 Calgary Acta Press 0-88986-339-3 1.2 MB Proceedings of the 22nd IASTED International Conference on Modelling, Identification and Control 554 559 Hamza M. H. 340