Robotics & Machine Learning Daily News2024,Issue(Apr.10) :73-73.

Researchers at Ningbo University Have Published New Study Findings on Robotics ( RBFNN-Based Adaptive Integral Sliding Mode Feedback and Feedforward Control for a Lower Limb Exoskeleton Robot)

Robotics & Machine Learning Daily News2024,Issue(Apr.10) :73-73.

Researchers at Ningbo University Have Published New Study Findings on Robotics ( RBFNN-Based Adaptive Integral Sliding Mode Feedback and Feedforward Control for a Lower Limb Exoskeleton Robot)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are disc ussed in a new report. According to news reportingout of Ningbo, People’s Repub lic of China, by NewsRx editors, research stated, “In this paper, an adaptivetr ajectory tracking control method combining proportional-integral-derivative (PID ) control, Radial BasisFunction neural network (RBFNN)-based integral sliding m ode control (ISMC), and feedforward control,i.e., the PIDFF-ISMC method, is pro posed.”

Key words

Ningbo University/Ningbo/People’s Repu blic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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