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相关概念视频

Control Systems01:10

Control Systems

1.1K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.1K
Control Systems: Applications01:25

Control Systems: Applications

582
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...
582
Feedback control systems01:26

Feedback control systems

296
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
296

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相关实验视频

Updated: Jun 15, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

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适应式事件触发安全控制用于网络远程操作系统.

Hai Yang1, Xia Liu1, Hui Wen1

  • 1School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China.

The Review of scientific instruments
|August 26, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了机器人远程操作的自适应事件触发安全控制,提高网络资源效率,确保系统稳定性,防止虚假数据注入攻击和时间变化的延迟.

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A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
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相关实验视频

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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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
  • 网络安全 网络安全

背景情况:

  • 网络机器人远程操作系统面临时间变化的延迟和虚假数据注入 (FDI) 攻击的挑战.
  • 在这些不利条件下确保系统稳定性和性能对于可靠运行至关重要.

研究的目的:

  • 为网络机器人远程操作系统提出一个自适应事件触发的安全控制方法.
  • 增强对时间变化的延迟和外国直接投资攻击的稳定性,同时优化网络资源利用.

主要方法:

  • 一个适应事件触发的方案,使用主机器人和奴隶机器人的位置/速度信号与适应值.
  • 使用触发信号和反错误来检测FDI攻击.
  • 设计一个切换控制器,根据攻击检测调整控制策略.

主要成果:

  • 提出的方法可自适应地调整触发频率,减少数据传输和节省网络资源.
  • 使用Lyapunov函数证明了系统的稳定性和跟踪错误的趋同.
  • 实践实验验证了对时间变化的延迟和外国直接投资攻击的有效性.

结论:

  • 开发的方法确保了在具有挑战性的条件下网络远程操作系统的稳定性和性能.
  • 它通过自适应数据传输有效地节约网络资源.
  • 该方法为安全可靠的机器人远程操作提供了强大的解决方案.