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One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

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An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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相关实验视频

Updated: Sep 11, 2025

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
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A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

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低延迟边缘启用数字双胞胎系统用于多机器人避免碰撞和远程控制.

Daniel Poul Mtowe1, Lika Long1, Dong Min Kim1,2

  • 1Department of ICT Convergence, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
概括

本研究介绍了一种边缘启用数字双胞胎网络控制系统 (E-DTNCS),用于避免多机器人碰撞. 新架构显著降低了延迟,并改善了动态环境中的实时控制.

关键词:
避免碰撞,避免碰撞.数字双胞胎数字双胞胎是什么意思边缘计算是一种边缘计算.低延迟的低延迟时间网络控制系统的网络控制系统.

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相关实验视频

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制系统工程 控制系统工程
  • 边缘计算 边缘计算
  • 数字双胞胎技术的数字双胞胎技术

背景情况:

  • 传统的多机器人控制系统由于网络延迟,带宽限制和缺乏预测能力而面临限制.
  • 集中式云处理和直接的传感器到控制器通信阻碍了动态环境中的实时性能.

研究的目的:

  • 为边缘启用数字双胞胎网络控制系统 (E-DTNCS) 提出一个低延迟和可扩展的架构.
  • 为了提高多机器人避免碰撞和远程控制在延迟敏感的应用程序.

主要方法:

  • 边缘计算的集成用于本地化数据预处理和特征提取.
  • 利用数字双胞胎 (DT) 技术进行高保真同步和预测建模.
  • 开发一个现实世界的测试台,使用多个移动机器人进行实证验证.

主要成果:

  • 随着数字双胞胎 (DT) 的部署,观察到碰撞率的显著降低.
  • 由于降低了延迟时间,通过E-DTNCS集成实现了响应能力和避免碰撞的进一步改进.
  • 在处理多机器人系统的实时控制任务方面表现出有效性.

结论:

  • 拟议的E-DTNCS框架有效地结合了边缘智能和DT驱动的控制.
  • 这种方法提高了多机器人系统的可靠性,可扩展性和实时性能.
  • 该框架具有工业自动化和网络物理应用的潜力.