首页|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)
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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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.”
Ningbo UniversityNingboPeople’s Repu blic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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