University of Electronic Science and Technology of China Details Findings in Rob otics (Event-triggered Learning-based Robust Tracking Control for Robotic Manipu lators With Uncertain Dynamics and Non-zero Equilibrium)
University of Electronic Science and Technology of China Details Findings in Rob otics (Event-triggered Learning-based Robust Tracking Control for Robotic Manipu lators With Uncertain Dynamics and Non-zero Equilibrium)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news reportingfrom Chengdu, People’s Republic of C hina, by NewsRx journalists, research stated, “This paper presentsa novel optim al tracking control method for robotic manipulators (RMs) with system uncertaint ies andnon-zero equilibrium points. The existing tracking control methods typic ally require the precise systemdynamics and assume the existence of a zero equi librium point, which may not always be true in practice.”
Key words
Chengdu/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robotics/Robots/University of Elec tronic Science and Technology of China
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