摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-研究人员详细介绍了机器人S-机器人和自动化的新数据。根据NewsRx记者在印度坎普尔的新闻报道，研究表明：“这封信提出了Neural-FXSMC，一种用于四旋翼的Robus T和精确控制方案，以对抗未知动力学、不确定性和外部干扰。Neural-FXSMC，(i)同时解决跟踪误差、控制奇异性和抖动问题的固定时间收敛，这是现有固定时间滑模控制(FxSMC)所无法做到的。以及(ii)放宽对不确定性的先验界限假设，T通常被认为是常数或依赖于状态的上限。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting from Kanpur, India, by NewsRx journalists, research stated, “This letter presents Neural-FxSMC, a robus t and precise control scheme for quadrotors to counter unknown dynamics, uncerta inties, and external disturbances. Neural-FxSMC, (i) addresses fixed-time conver gence of the tracking error, control singularity, and chattering issues simultan eously, which is not possible with the existing Fixed time Sliding Mode Control (FxSMC), and (ii) relaxes the a priori bound assumption over the uncertainties t hat are often considered as a constant or a state-dependent upper bound.”
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