Robotics & Machine Learning Daily News2024,Issue(Apr.24) :97-98.

Findings from Harbin Institute of Technology Broaden Understanding of Robotics ( Adaptive Disturbance Observer-based Fixed-time Tracking Control for Uncertain Ro botic Systems)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :97-98.

Findings from Harbin Institute of Technology Broaden Understanding of Robotics ( Adaptive Disturbance Observer-based Fixed-time Tracking Control for Uncertain Ro botic Systems)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Robotics are discussed in a new report. According to news reporting out ofHarbin, People’s Republic of Chin a, by NewsRx editors, research stated, “This article proposes a noveladaptive d isturbance observer-based fixed-time backstepping control algorithm for uncertai n roboticsystems. First, an adaptive sliding mode disturbance observer (ASMDO) is designed to compensate forthe lumped disturbances of the robotic system, suc h as model uncertainty and friction.”

Key words

Harbin/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robotics/Robots/Harbin Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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