Robotics & Machine Learning Daily News2024,Issue(Feb.26) :14-14.DOI:10.3390/act13020068

Shanghai Maritime University Researcher Reveals New Findings on Robotics (Distributed Fixed-Time Formation Tracking Control for the Multi-Agent System and an Application in Wheeled Mobile Robots)

Robotics & Machine Learning Daily News2024,Issue(Feb.26) :14-14.DOI:10.3390/act13020068

Shanghai Maritime University Researcher Reveals New Findings on Robotics (Distributed Fixed-Time Formation Tracking Control for the Multi-Agent System and an Application in Wheeled Mobile Robots)

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Abstract

Research findings on robotics are discussed in a new report. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “This work addresses the issue of multi-agent system (MAS) formation control under external disturbances and a directed communication topology.” Financial supporters for this research include National Natural Science Foundation of China; Natural Science Foundation of Shanghai. The news journalists obtained a quote from the research from Shanghai Maritime University: “Firstly, a new disturbance observer is proposed to effectively reconstruct and compensate for external disturbances within a short period of time. Then, the integral terminal sliding mode technology is introduced to devise a novel distributed formation control protocol, ultimately realizing the stability of the MAS within a fixed time. Moreover, by means of rigorous Lyapunov theory analyses, a faster formation convergence rate and more accurate consensus accuracies are achieved in the proposed fixed-time strategy with variable exponent form.”

Key words

Shanghai Maritime University/Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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