. "Kalibrace paraleln\u00EDch mechanism\u016F s adaptivn\u00ED slo\u017Eitost\u00ED modelu" . . . . . . "RIV/68407700:21220/12:00195319" . "144254" . "2"^^ . "Kalibrace paraleln\u00EDch mechanism\u016F s adaptivn\u00ED slo\u017Eitost\u00ED modelu"@cs . . "Calibration of parallel mechanisms with adaptive model complexity"@en . . . "2"^^ . . "This dissertation thesis deals with the development and the application of new calibration methods that are able to identify local geometrical properties of kinematical pairs in order to obtain better calibration results than current calibration methods. The current calibration methods work with ideal models of the kinematical pairs and their precise positions in space are computed as the calibration results. The new calibration methods assume unknown nonlinear properties of the kinematical pairs and they adaptively adjust the kinematical model used during the calibration calculation. The thesis begins with a description of the current calibration approaches. Then the polynomial calibration is explained and its application to a calibration problem of the redundant parallel mechanism Sliding Star is described. In the following chapters, the adaptive neuro-fuzzy calibration method is explained. The method adaptively uses neuro-fuzzy models for identification of the nonlinear properties of the kinematical pairs. Finally, the obtained results are reviewed."@en . . "21220" . "Skopec, Tom\u00E1\u0161" . . . "[3CAAED0F4BB6]" . "Adaptive calibration methods of mechanisms; polynomial calibration method; neuro-fuzzy calibration method; nonlinear properties of kinematical pairs"@en . "RIV/68407700:21220/12:00195319!RIV13-GA0-21220___" . . "Tato diserta\u010Dn\u00ED pr\u00E1ce se zab\u00FDv\u00E1 v\u00FDvojem a n\u00E1slednou aplikac\u00ED nov\u00FDch kalibra\u010Dn\u00EDch metod, kter\u00E9 jsou schopn\u00E9 ur\u010Dit lok\u00E1ln\u00ED geometrick\u00FD tvar kinematick\u00FDch dvojic a d\u00EDky tomu dos\u00E1hnout lep\u0161\u00EDch kalibra\u010Dn\u00EDch v\u00FDsledk\u016F ne\u017E st\u00E1vaj\u00EDc\u00ED metody. Obvykl\u00E9 kalibra\u010Dn\u00ED metody p\u0159edpokl\u00E1daj\u00ED ide\u00E1ln\u00ED vlastnosti kinematick\u00FDch dvojic a b\u011Bhem kalibrace je ur\u010Dena pouze jejich poloha v prostoru. Zde popsan\u00E9 metody p\u0159edpokl\u00E1daj\u00ED nezn\u00E1m\u00E9 neline\u00E1rn\u00ED vlastnosti a b\u011Bhem kalibra\u010Dn\u00EDho v\u00FDpo\u010Dtu adaptivn\u011B upravuj\u00ED kinematick\u00FD model mechanismu, aby co nejkvalitn\u011Bji popsal p\u0159\u00EDpadn\u00E9 odchylky kinematick\u00FDch dvojic od ide\u00E1ln\u00EDho tvaru. V pr\u00E1ci je nejprve uk\u00E1z\u00E1n klasick\u00FD kalibra\u010Dn\u00ED postup, pot\u00E9 je vysv\u011Btlen princip nov\u00E9 polynomi\u00E1ln\u00ED metody a je demonstrov\u00E1na jej\u00ED aplikaci p\u0159i kalibraci redundantn\u00EDho paraleln\u00EDho mechanismu Sliding Star. N\u00E1sleduje popis adaptivn\u00ED slo\u017Eky kalibra\u010Dn\u00EDho algoritmu v\u010Detn\u011B popisu pravidel pro zvy\u0161ov\u00E1n\u00ED slo\u017Eitosti kalibra\u010Dn\u00EDho kinematick\u00E9ho modelu. V dal\u0161\u00ED \u010D\u00E1sti je pops\u00E1na nov\u00E1 adaptivn\u00ED neuro-fuzzy kalibra\u010Dn\u00ED metoda, kter\u00E1 pro popis p\u0159\u00EDpadn\u00FDch neline\u00E1rn\u00EDch vlastnost\u00ED kinematick\u00FDch dvojic vyu\u017E\u00EDv\u00E1 lok\u00E1ln\u00ED line\u00E1rn\u00ED modely. Pou\u017Eit\u00ED t\u00E9to metody je tak\u00E9 demonstrov\u00E1no na kalibra\u010Dn\u00ED \u00FAloze mechanismu Sliding Star. Pr\u00E1ci uzav\u00EDr\u00E1 zhodnocen\u00ED dosa\u017Een\u00FDch v\u00FDsledk\u016F." . . . "\u0160ika, Zbyn\u011Bk" . "Tato diserta\u010Dn\u00ED pr\u00E1ce se zab\u00FDv\u00E1 v\u00FDvojem a n\u00E1slednou aplikac\u00ED nov\u00FDch kalibra\u010Dn\u00EDch metod, kter\u00E9 jsou schopn\u00E9 ur\u010Dit lok\u00E1ln\u00ED geometrick\u00FD tvar kinematick\u00FDch dvojic a d\u00EDky tomu dos\u00E1hnout lep\u0161\u00EDch kalibra\u010Dn\u00EDch v\u00FDsledk\u016F ne\u017E st\u00E1vaj\u00EDc\u00ED metody. Obvykl\u00E9 kalibra\u010Dn\u00ED metody p\u0159edpokl\u00E1daj\u00ED ide\u00E1ln\u00ED vlastnosti kinematick\u00FDch dvojic a b\u011Bhem kalibrace je ur\u010Dena pouze jejich poloha v prostoru. Zde popsan\u00E9 metody p\u0159edpokl\u00E1daj\u00ED nezn\u00E1m\u00E9 neline\u00E1rn\u00ED vlastnosti a b\u011Bhem kalibra\u010Dn\u00EDho v\u00FDpo\u010Dtu adaptivn\u011B upravuj\u00ED kinematick\u00FD model mechanismu, aby co nejkvalitn\u011Bji popsal p\u0159\u00EDpadn\u00E9 odchylky kinematick\u00FDch dvojic od ide\u00E1ln\u00EDho tvaru. V pr\u00E1ci je nejprve uk\u00E1z\u00E1n klasick\u00FD kalibra\u010Dn\u00ED postup, pot\u00E9 je vysv\u011Btlen princip nov\u00E9 polynomi\u00E1ln\u00ED metody a je demonstrov\u00E1na jej\u00ED aplikaci p\u0159i kalibraci redundantn\u00EDho paraleln\u00EDho mechanismu Sliding Star. N\u00E1sleduje popis adaptivn\u00ED slo\u017Eky kalibra\u010Dn\u00EDho algoritmu v\u010Detn\u011B popisu pravidel pro zvy\u0161ov\u00E1n\u00ED slo\u017Eitosti kalibra\u010Dn\u00EDho kinematick\u00E9ho modelu. V dal\u0161\u00ED \u010D\u00E1sti je pops\u00E1na nov\u00E1 adaptivn\u00ED neuro-fuzzy kalibra\u010Dn\u00ED metoda, kter\u00E1 pro popis p\u0159\u00EDpadn\u00FDch neline\u00E1rn\u00EDch vlastnost\u00ED kinematick\u00FDch dvojic vyu\u017E\u00EDv\u00E1 lok\u00E1ln\u00ED line\u00E1rn\u00ED modely. Pou\u017Eit\u00ED t\u00E9to metody je tak\u00E9 demonstrov\u00E1no na kalibra\u010Dn\u00ED \u00FAloze mechanismu Sliding Star. Pr\u00E1ci uzav\u00EDr\u00E1 zhodnocen\u00ED dosa\u017Een\u00FDch v\u00FDsledk\u016F."@cs . "Kalibrace paraleln\u00EDch mechanism\u016F s adaptivn\u00ED slo\u017Eitost\u00ED modelu" . "Calibration of parallel mechanisms with adaptive model complexity"@en . . "Kalibrace paraleln\u00EDch mechanism\u016F s adaptivn\u00ED slo\u017Eitost\u00ED modelu"@cs . "P(GAP101/11/1627)" . .