0411011 20240103182255.420060210235959.9 961-6303-40-6 Ljubljana Jožef Stefan Institute 2002 8 s. 8-15RakarA. lq controller adaptive control optimization cav_un_auth*0101169 Novák Miroslav UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. 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. It is often difficult to set the controller well, especially in MIMO case where the number of knobs rapidly increases. A sophisticated algorithm has to be developed for successful use of these controllers. The classical methods for controller settings can not be precise enough for this kind of systems and it is expected the controller function can be improved considerably if they are better tuned. cav_un_auth*0212989 International PhD Workshop /3./ Strunjan SI 01.10.2002-04.10.2002 JB AS http://hdl.handle.net/11104/0131098 UTIA-B 20020225 2002 2002 Ljubljana Jožef Stefan Institute 961-6303-40-6 Advances in Supervision and Control Systems, Young Generation Viewpoint 8 15 Rakar A. 340