Robotics & Machine Learning Daily News2024,Issue(Jun.7) :56-57.

Findings from Suzhou University of Science and Technology Provide New Insights i nto Robotics (Observer-based Dual-dynamic Eventtriggered Mechanism Design for B alance Control of Motion Robots)

苏州科技大学的研究成果为机器人学提供了新的见解(基于观测器的运动机器人平衡控制双动态事件触发机制设计)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :56-57.

Findings from Suzhou University of Science and Technology Provide New Insights i nto Robotics (Observer-based Dual-dynamic Eventtriggered Mechanism Design for B alance Control of Motion Robots)

苏州科技大学的研究成果为机器人学提供了新的见解(基于观测器的运动机器人平衡控制双动态事件触发机制设计)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx记者从苏州发来的新闻报道,研究表明:“本文研究了基于观测器的双动态事件触发机制在网络化控制系统中的应用,重点研究了其在运动机器人中的应用。”本报编辑引用了苏州科技大学的研究成果,“二是引入动态事件触发机制与观测器设计相结合,最大限度地减少了数据传输,提高了通信效率,三是实现了控制器设计的第二个动态事件触发协议。”第四,利用线性M矩阵不等式构造了一个具有内部动态变量的Lyapuno V函数进行稳定性分析。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating from Suzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “This paper investigates the issue of observer-based dual-dynamic event-triggered scheme into networked cont rol systems, focusing on its application to motion robots. Firstly, it establish es a mathematical model of the motion robot system based on Newtonian mechanics. ” Our news editors obtained a quote from the research from the Suzhou University o f Science and Technology, “Secondly, it introduces a dynamic event-triggering me chanism coupled with observer design to minimize data transmission and enhance c ommunication efficiency. Thirdly, it implements a second dynamic event-triggerin g protocol for controller design, ensuring a positive lower bound for triggering event intervals, thus avoiding Zeno behavior. Fourthly, it constructs a Lyapuno v function with internal dynamic variables for stability analysis using linear m atrix inequalities.”

Key words

Suzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Suzhou U niversity of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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