Robotics & Machine Learning Daily News2024,Issue(Nov.14) :3-3.

New Findings in Robotics Described from Anhui University (Robust Adaptive Asymme tric State Constraint Control of Brush Dc Motor Systems Driving a One-link Robot Manipulator: a Feasibilitycondition-free Method)

安徽大学机器人学的新发现(驱动单连杆机器人的无刷直流电机系统的鲁棒自适应非对称状态约束控制:一种可行的无条件方法)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :3-3.

New Findings in Robotics Described from Anhui University (Robust Adaptive Asymme tric State Constraint Control of Brush Dc Motor Systems Driving a One-link Robot Manipulator: a Feasibilitycondition-free Method)

安徽大学机器人学的新发现(驱动单连杆机器人的无刷直流电机系统的鲁棒自适应非对称状态约束控制:一种可行的无条件方法)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于机器人的新报道。据合肥消息,中华人民共和国,Newsrx记者,研究称,"在本文中,我们调查了一类(DC)直流电机驱动单连杆机器人的跟踪控制问题非对称全状态约束的机械手。通过构造一个状态依赖的非线性变换函数(NTF),提出了一种自适应鲁棒动态面控制(DSC)策略它可以直接添加对称和非对称状态约束,因此不需要将状态约束问题转化为屏障要求的跟踪误差约束基于Lyapunov函数(BLF)的现有工作"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting from Hefei,People’s Republic of China, by N ewsRx journalists, research stated, “In this paper, we investigate thetracking control problem for a class of brush direct current (DC) motor systems driving a one-link robotmanipulator subject to asymmetric full-state constraints. By con structing a state-dependent nonlineartransformation function (NTF), we present an adaptive robust dynamic surface control (DSC) strategythat can directly addr ess both symmetric and asymmetric state constraints, so that there is no need toconvert the problem of state constraint into the constraints on tracking errors as necessitated by the BarrierLyapunov Function (BLF)-based existing works.”

Key words

Hefei/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Anhui University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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