Recent Findings from Guangdong University of Technology Provides New Insights in to Robotics (Nonlinear Disturbance Observer Incorporated Model Predictive Strate gy for Wheeled Mobile Robot’s Trajectory Tracking Control)

广东工业大学最近的研究成果为机器人学(非线性扰动观测器结合模型预测策略的轮式移动机器人轨迹跟踪控制)提供了新的见解

Robotics & Machine Learning Daily News2024，Issue(Jun.27) ：86-87.

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Recent Findings from Guangdong University of Technology Provides New Insights in to Robotics (Nonlinear Disturbance Observer Incorporated Model Predictive Strate gy for Wheeled Mobile Robot’s Trajectory Tracking Control)

广东工业大学最近的研究成果为机器人学(非线性扰动观测器结合模型预测策略的轮式移动机器人轨迹跟踪控制)提供了新的见解

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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记者在广州的新闻报道，研究表明：“本文讨论了一种基于非线性偏差观测器的轮式移动机器人(WMR)的双闭环控制系统，并实现了轨迹跟踪控制，研究的重点是在有外部干扰的情况下对轮式移动机器人的轨迹跟踪控制。”本研究的资助单位包括广东省国家自然科学基金、广州市科技计划、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 – Investigators publish new report on Ro botics. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “In this paper, we discuss a nonlinear d isturbance observer-based double closed-loop control system for managing a wheel ed mobile robot (WMR) and achieving trajectory tracking control. The focus of ou r study is on the topic of trajectory tracking control for WMR in the presence o f external disturbances.” Financial supporters for this research include National Natural Science Foundati on of Guangdong Province, Science and Technology Program of Guangzhou, National Natural Science Foundation of China (NSFC).

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robot/Robotics/Guangdong Univers ity of Technology

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出版年

2024

Robotics & Machine Learning Daily News

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