Machine-learning based approaches for self-tuning trajectory tracking controllers under terrain changes in repetitive tasks

作者: Álvaro Javier Prado , Maciej Marcin Michałek , Fernando Auat Cheein , None

DOI: 10.1016/J.ENGAPPAI.2017.09.013

关键词: Self-tuningActuatorTrajectoryControl theoryContext (language use)Artificial intelligenceMachine learningProbabilistic logicMotion controllerKinematicsComputer scienceTerrain

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…

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