Robotics & Machine Learning Daily News2024,Issue(MAY.8) :115-115.

Studies from Yanshan University Describe New Findings in Robotics (Asynchronous Piecewise Continuous Hybrid Dynamic Eventtriggered Tracking Control for Mobile Robots)

Robotics & Machine Learning Daily News2024,Issue(MAY.8) :115-115.

Studies from Yanshan University Describe New Findings in Robotics (Asynchronous Piecewise Continuous Hybrid Dynamic Eventtriggered Tracking Control for Mobile Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news originating from Qinhuangdao, People’s Republic of China, b y NewsRx correspondents, research stated, “In this article, an asynchronous piec ewise continuous hybrid dynamic event-triggered mechanism (DETM) is proposed for wheeled mobile robots (WMRs) to cope with nonideal network environments. Unlike the previous DETM, the asynchronous piecewise continuous DETM depends on a piec ewise continuous intervals related to the previous triggered durations, while ma intaining the required control performance and improving communication efficienc y.” Financial support for this research came from Natural Science Foundation of Hebe i Province.

Key words

Qinhuangdao/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Yanshan Un iversity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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