Robotics & Machine Learning Daily News2024,Issue(Jun.7) :12-13.

Findings from Shandong University Broaden Understanding of Robotics (Determinist ic Learning-based Neural Pid Control for Nonlinear Robotic Systems)

山东大学的发现拓宽了对机器人的理解(基于决定论学习的非线性机器人系统神经Pid控制)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :12-13.

Findings from Shandong University Broaden Understanding of Robotics (Determinist ic Learning-based Neural Pid Control for Nonlinear Robotic Systems)

山东大学的发现拓宽了对机器人的理解(基于决定论学习的非线性机器人系统神经Pid控制)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。据新华社济南新闻报道,“传统的比例-积分-微分(PID)控制器在工业应用中取得了广泛的成功,但是,尽管现有的PID控制器大多集中在线性系统上,但实际系统的非线性和不确定性不容忽视。”本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating from Jinan, People’s Repu blic of China, by NewsRx correspondents, research stated, “Traditional proportio nal-integral-derivative (PID) controllers have achieved widespread success in in dustrial applications. However, the nonlinearity and uncertainty of practical sy stems cannot be ignored, even though most of the existing research on PID contro llers is focused on linear systems.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Jinan/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Shandong Univ ersity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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