首页|Reports from Northeastern University Highlight Recent Findings in Robotics (Trac king Control for Robotic Manipulators With Prescribed Performance and Adaptive S liding Mode Disturbance Observer)
Reports from Northeastern University Highlight Recent Findings in Robotics (Trac king Control for Robotic Manipulators With Prescribed Performance and Adaptive S liding Mode Disturbance Observer)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “This paper investigates the finite- time disturbance estimation and tracking control for robotic manipulators subjec ted to model perturbation and external disturbance. First, an adaptive sliding m ode disturbance observer (ASMDO) is raised to estimate the lumped uncertainties, which does not need to consider the upper boundary prior knowledge of lumped un certainties’ derivative, and excessive gain coefficients are avoided, meanwhile, which decrease the chattering phenomenon.”
ShenyangPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsNortheastern Univ ersity
NETL
NSTL
