Robotics & Machine Learning Daily News2024,Issue(MAY.3) :119-119.

Investigators at National University of Singapore Report Findings in Robotics (C omposite Error Learning Robot Control Using Discontinuous Lyapunov Analysis)

Robotics & Machine Learning Daily News2024,Issue(MAY.3) :119-119.

Investigators at National University of Singapore Report Findings in Robotics (C omposite Error Learning Robot Control Using Discontinuous Lyapunov Analysis)

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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 originatingin Singapore, Singapore, by Ne wsRx journalists, research stated, “A feedback-error learning (FEL)framework, w hich is characterized by internal dynamics modeling and hybrid feedback-feedforw ard (HFF)control, provides a computational model for motor learning control in the cerebellum. For FEL-basedadaptive robot control, closed-loop stability and parameter convergence involve in stringent conditions,such as high-gain feedbac k and persistent excitation.”

Key words

Singapore/Singapore/Asia/Emerging Tec hnologies/Machine Learning/Robot/Robotics/National University of Singapore

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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