Robotics & Machine Learning Daily News2024,Issue(Apr.4) :49-50.

Study Findings on Robotics Reported by Researchers at University of Tasmania (Ad aptive Sliding Mode Resilient Control of Multi-Robot Systems with a Leader-Follo wer Model under Byzantine Attacks in the Context of the Industrial Internet of T hings)

Robotics & Machine Learning Daily News2024,Issue(Apr.4) :49-50.

Study Findings on Robotics Reported by Researchers at University of Tasmania (Ad aptive Sliding Mode Resilient Control of Multi-Robot Systems with a Leader-Follo wer Model under Byzantine Attacks in the Context of the Industrial Internet of T hings)

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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 from the University of T asmania by NewsRx correspondents, research stated, “In this paper,an adaptive a nd resilient consensus control mechanism for multi-robot systems under Byzantine attack,based on sliding mode control, is proposed.”

Key words

University of Tasmania/Emerging Technol ogies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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