Robotics & Machine Learning Daily News2024,Issue(Mar.21) :10-11.

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)

Robotics & Machine Learning Daily News2024,Issue(Mar.21) :10-11.

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)

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Abstract

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.”

Key words

Shenyang/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Robotics/Robots/Northeastern Univ ersity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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