Robotics & Machine Learning Daily News2024,Issue(Dec.3) :94-94.

Study Results from Hefei University of Technology Update Understanding of Roboti cs (A Novel Ultra-local Model-based Finite Time Synergetic Robustness Control fo r Uncertain Robotic Manipulator)

合肥工业大学研究成果更新Roboti cs(一种基于超局部模型的不确定机器人有限时间协同鲁棒控制)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :94-94.

Study Results from Hefei University of Technology Update Understanding of Roboti cs (A Novel Ultra-local Model-based Finite Time Synergetic Robustness Control fo r Uncertain Robotic Manipulator)

合肥工业大学研究成果更新Roboti cs(一种基于超局部模型的不确定机器人有限时间协同鲁棒控制)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员用机器人S详细介绍了新数据。中华人民共和国,由News Rx记者,研究称,"一种基于新的超地方模型的为保证跟踪精度和鲁棒性,设计了有限时间协同鲁棒控制(FSRC)不确定机器人r轨迹跟踪的强鲁棒性,首先建立了超局部模型用代数方法建立了不确定机器人机械臂的数学模型,并用代数方法对其进行了估计实时不确定部分"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news originating from Anhui,People’s Republic of China, by News Rx correspondents, research stated, “A novel ultra-local modelbasedfinite time synergetic robustness control (FSRC) is developed to ensure the tracking accura cy andstrong robustness of trajectory tracking for uncertain robotic manipulato r. The ultra-local model is firstestablished for the uncertain robotic manipula tor, with algebraic method which is used to estimate theuncertain part in real time.”

Key words

Anhui/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Hefei University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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