Robotics & Machine Learning Daily News2024,Issue(Jun.10) :27-28.

Study Findings from Kunming University Broaden Understanding of Robotics (Asympt otic Prescribed Output-feedback Control for Nonlinear Robotic Systems)

昆明大学的研究成果拓宽了机器人学的理解(非线性机器人系统的非对称指定输出反馈控制)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :27-28.

Study Findings from Kunming University Broaden Understanding of Robotics (Asympt otic Prescribed Output-feedback Control for Nonlinear Robotic Systems)

昆明大学的研究成果拓宽了机器人学的理解(非线性机器人系统的非对称指定输出反馈控制)

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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-一项关于机器人的新研究现在开始了。根据新sRx记者从中华人民共和国昆明发来的新闻报道,研究称,“本文针对没有函数逼近技术的机器人系统,如神经网络(NNs)和/或模糊逻辑系统(FLSs),提出了一种渐近规定D输出反馈控制方法。所导出的控制器不仅可以在预定的瞬态和稳态边界内使跟踪误差为零,而且避免了常规的鲁棒控制器设计过程。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news reporting from Kunming, People’s Republic of China, by New sRx journalists, research stated, “This article presents an asymptotic prescribe d output-feedback control method for robotic systems without function approximat ion techniques such as neural networks (NNs) and/or fuzzy logic systems (FLSs). The derived controller can not only drive the tracking error to zero within the predefined transient and steady-state boundary but also avoid the conventional r ecursive controller design procedure.”

Key words

Kunming/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Kunming University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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