首页|Investigators at National University of Singapore Report Findings in Robotics (C omposite Error Learning Robot Control Using Discontinuous Lyapunov Analysis)
Investigators at National University of Singapore Report Findings in Robotics (C omposite Error Learning Robot Control Using Discontinuous Lyapunov Analysis)
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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.”
SingaporeSingaporeAsiaEmerging Tec hnologiesMachine LearningRobotRoboticsNational University of Singapore
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