20.500.12556/RUL-171540 Kontroliranje dinamskega sistema s strojnim učenjem Machine-learning based control of a dynamic system Na področju krmiljenja dinamskih sistemov se vedno pogosteje uveljavlja strojno učenje, predvsem zaradi prilagodljivosti in zmožnosti obvladovanja kompleksnih sistemov brez poznavanja kinematike. V raziskavi te naloge je obravnavana implementacija strojnega učenja za uporabo pri usmerjanju krogle na 3-osnem paralelnem manipulatorju. Z eksperimentom je bilo ugotovljeno, da je strojno učenje primerno za tovrstno nalogo, uspešnost pa je odvisna od načina implementacije ter učenja. In the field of dynamic system control, machine learning is becoming increasingly prominent, primarily due to its flexibility and ability to handle complex systems without requiring knowledge of kinematics. Research of this thesis examines an implementation of machine learning for use in controlling ball's motion on a 3-axis parallel manipulator. With the experiment it was found that machine learning is suitable for this type of task, although its effectiveness depends on the implementation method and the training process. dinamski sistemi paralelni manipulatorji strojno učenje okrepitveno učenje usmerjanje krogle dynamic systems parallel manipulators machine learning reinforcement learning ball balancing true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2025-08-28 08:30:25 2025-08-28 08:30:27 2025-09-06 03:58:59 0000-00-00 00:00:00 2025 0 0 XI, 28 f. 2025 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 007.52:681.52:004.85(043.2) 274841 247480579 42481.pdf 42481.pdf 1 A1A959CD8C225C2408B45631030784F3 dcfa2eb729621406037babfe8031df5c4cbb2549c444e2fe6d1108f93831ad9f 5f5b19c0-83d8-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=214906 Fakulteta za strojništvo 0 0 0