Robotics & Machine Learning Daily News2024,Issue(MAY.1) :81-82.

New Robotics Study Findings Have Been Reported by Investigators at Northeastern University (Adaptive Fixed-time Output-feedback Optimal Time-varying Formation C ontrol for Multiple Omnidirectional Robot Systems)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :81-82.

New Robotics Study Findings Have Been Reported by Investigators at Northeastern University (Adaptive Fixed-time Output-feedback Optimal Time-varying Formation C ontrol for Multiple Omnidirectional Robot Systems)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting originatingfrom Shenyang, People’s Republ ic of China, by NewsRx correspondents, research stated, “This articlepresents a n adaptive fuzzy fixed-time output feedback control approach for achieving an op timal timevaryingformation (TVF) of multiple omnidirectional robot systems (MO RSs) with uncertain externaldisturbances. Given that only output variables of t he system are measurable, the method employs fuzzystate observers to reconstruc t other unmeasured states.”

Key words

Shenyang/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Northeastern Unive rsity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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