作者: Álvaro Javier Prado , Maciej Marcin Michałek , Fernando Auat Cheein , None
DOI: 10.1016/J.ENGAPPAI.2017.09.013
关键词: Self-tuning 、 Actuator 、 Trajectory 、 Control theory 、 Context (language use) 、 Artificial intelligence 、 Machine learning 、 Probabilistic logic 、 Motion controller 、 Kinematics 、 Computer science 、 Terrain
摘要: … The metrics used herein and previously published in the literature have shown that the self-tuning methodologies proposed in this work decreases the trajectory tracking errors up to 18…