Robotics & Machine Learning Daily News2024,Issue(Oct.1) :76-77.

Researchers from Sun Yat-sen University Discuss Findings in Robotics (A Mode-swi tcher-based Neural Solution To Linearly Constrained Systems Applied To Robot Obs tacle Avoidance)

Robotics & Machine Learning Daily News2024,Issue(Oct.1) :76-77.

Researchers from Sun Yat-sen University Discuss Findings in Robotics (A Mode-swi tcher-based Neural Solution To Linearly Constrained Systems Applied To Robot Obs tacle Avoidance)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Time-variant linear equal ity and inequality (TVLEI) play crucial roles in various practical scenarios. Ex isting zeroing neural networks (ZNNs) have been designed to handle either time-v ariant linear equality or time-variant linear inequality separately.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robot/Robotics/Sun Yat-sen Unive rsity

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文