Findings from National University of Defense Technology Yields New Findings on I ntelligent Vehicles (Fixed-time Consensus Based On a Fractional Adaptive Gain fo r Multi-agent Systems)

Robotics & Machine Learning Daily News2024，Issue(Jul.9) ：113-113.

来源：

NETL
NSTL

Findings from National University of Defense Technology Yields New Findings on I ntelligent Vehicles (Fixed-time Consensus Based On a Fractional Adaptive Gain fo r Multi-agent Systems)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Transportation - Intelligent Vehic les is now available. According to news reportingoriginating in Changsha, Peopl e’s Republic of China, by NewsRx journalists, research stated, “In thisarticle, a fractional adaptive gain is adopted to solve fixed-time consensus problem. Bo th leaderless andleader-following consensus based on different communication to pologies are considered and the stabilityis proved by Lyapunov analysis.”

Key words

Changsha/People’s Republic of China/As ia/Intelligent Vehicles/Transportation/National University of Defense Technol ogy

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航