Robotics & Machine Learning Daily News2024,Issue(Feb.14) :27-27.DOI:10.1016/j.jfranklin.2023.11.020

Reports Outline Robotics Findings from Southeast University (Adaptive Fault-tolerant Formation Tracking Control of Networked Mobile Robots With Input Delays)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :27-27.DOI:10.1016/j.jfranklin.2023.11.020

Reports Outline Robotics Findings from Southeast University (Adaptive Fault-tolerant Formation Tracking Control of Networked Mobile Robots With Input Delays)

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Abstract

New research on Robotics is the subject of a report. According to news reporting originating in Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “This paper addresses a fault-tolerant formation tracking problem for multiple mobile robots, where the dynamics of each robot is nonholonomic with time-varying input delays and actuator faults. The control problem is challenging since the actuator faults (e.g., loss of effectiveness and biased faults) are unknown in the time-delay multi-agent systems.”

Key words

Nanjing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Southeast University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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被引量2
参考文献量33
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