Robotics & Machine Learning Daily News2024,Issue(Jun.27) :141-142.

Data from South China University of Technology Provide New Insights into Robotic s and Automation (Event-triggered Adaptive Fault-tolerant Boundary Control for F lexible Bionic Fish Tail With Output Constraint)

华南理工大学的数据为机器人和自动化提供了新的见解(具有输出约束的柔性仿生鱼尾事件触发自适应容错边界控制)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :141-142.

Data from South China University of Technology Provide New Insights into Robotic s and Automation (Event-triggered Adaptive Fault-tolerant Boundary Control for F lexible Bionic Fish Tail With Output Constraint)

华南理工大学的数据为机器人和自动化提供了新的见解(具有输出约束的柔性仿生鱼尾事件触发自适应容错边界控制)

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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-调查人员讨论机器人学的新发现-机器人和自动化。根据NewsRx驻广州新闻报道,“本文主要研究柔性仿生鱼尾系统在边界控制下的跟踪问题,将柔性仿生鱼尾系统建模为非均匀参数的N Euler-Bernoulli梁,其执行器为位于尾部前端的直流电机。”本研究经费来源于国家重点研发项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According to news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research state d, “The article focuses on the tracking issue of a flexible bionic fish tail sys tem under boundary control. The flexible bionic fish tail system is modeled as a n Euler-Bernoulli beam with nonuniform parameters, where its actuator is a DC m otor located at the front end of the tail.” Financial support for this research came from National Key R&D Prog ram of China.

Key words

Guangzhou/People’s Republic of China/A sia/Robotics and Automation/Robotics/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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