Robotics & Machine Learning Daily News2024,Issue(Nov.8) :30-30.

Studies from Wuhan Technology and Business University Further Understanding of R obotics (Cluster formation tracking of networked perturbed robotic systems via h ierarchical fixed-time neural adaptive approach)

武汉工商大学进修Robotics(网络化集群形成跟踪)的理解基于高阶固定时间神经网络的扰动机器人系统适应方法

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :30-30.

Studies from Wuhan Technology and Business University Further Understanding of R obotics (Cluster formation tracking of networked perturbed robotic systems via h ierarchical fixed-time neural adaptive approach)

武汉工商大学进修Robotics(网络化集群形成跟踪)的理解基于高阶固定时间神经网络的扰动机器人系统适应方法

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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-机器人的最新数据在一份新的报告中呈现。根据消息来源来自武汉工商大学的NewsRx记者,研究称:“这篇论文网络化扰动机器人系统的定时簇队形跟踪(CFT)问题(NPRSs)在有向图信息交互下,考虑参数不确定性,外部扰动和致动器输入死区。 ”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news originatingfrom Wuhan Technology and Business University by NewsRx correspondents, research stated, “This paperinvestigates the fixed-time cluster formation tracking (CFT) problem for networked perturbed robotic systems(NPRSs) under directed graph information interaction, considerin g parametric uncertainties, externalperturbations, and actuator input deadzone. ”

Key words

Wuhan Technology and Business University/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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