Robotics & Machine Learning Daily News2024,Issue(Nov.14) :19-19.

Findings on Robotics Reported by Investigators at Qingdao University (Command Fi lter-based Finite-time Constraint Control for Flexible Joint Robots Stochastic S ystem With Unknown Dead Zones)

青岛大学研究人员报告的机器人学研究成果(基于指令函数的未知死区柔性关节机器人随机系统有限时间约束控制)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :19-19.

Findings on Robotics Reported by Investigators at Qingdao University (Command Fi lter-based Finite-time Constraint Control for Flexible Joint Robots Stochastic S ystem With Unknown Dead Zones)

青岛大学研究人员报告的机器人学研究成果(基于指令函数的未知死区柔性关节机器人随机系统有限时间约束控制)

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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-机器人的最新数据在一份新的报告中呈现。根据新闻报道该研究源于中国人民代表大会青岛,由NewsRx记者报道,“本文”柔性关节rob(FJR)随机系统有限时间(FT)自适应约束控制问题研究系统。首先,通过将命令filtered backsteppi ng方法与FT控制相结合,它不仅解决了“复杂性爆炸”问题,同时保证了FJR随机系统的误差以英尺为单位的对话"

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 reportingoriginating in Qingdao, People’s Rep ublic of China, by NewsRx journalists, research stated, “This articlestudies th e problem of finite-time (FT) adaptive constraint control for flexible joint rob ots (FJR) stochasticsystem. First, by combining the command filtered backsteppi ng method with FT control, not only does itsolve the ‘explosion of complexity’ problem, but it also ensures that the error of the FJR stochastic systemconverg es in FT.”

Key words

Qingdao/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Qingdao Univer sity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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