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相关概念视频

Control Systems: Applications01:25

Control Systems: Applications

590
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...
590
Control System Problem01:21

Control System Problem

110
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
110
Linear time-invariant Systems01:23

Linear time-invariant Systems

238
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
238
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

496
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
496
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...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

700
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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相关实验视频

Updated: Jun 18, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

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基于MPC的异步攻击耐受性控制对于不确定的马尔科夫跳跃网络物理系统

Lanxin Wang, Yue Long, Tieshan Li

    IEEE transactions on cybernetics
    |July 29, 2024
    PubMed
    概括

    本研究介绍了一种异步模型预测控制 (MPC) 方法,以提高不确定的马尔科夫跳跃网络物理系统 (MJCPSs) 对拒绝服务 (DoS) 攻击的安全性. 拟议的控制器提高了系统性能,并减少了计算负载.

    科学领域:

    • 网络物理系统 网络物理系统
    • 控制理论 控制理论
    • 网络安全 网络安全

    背景情况:

    • 网络物理系统 (CPS) 越来越容易受到像拒绝服务 (DoS) 这样的复杂攻击.
    • 不确定的马尔科夫跳跃系统引入了由于模式不确定性的控制设计的复杂性.
    • 现有的模型预测控制 (MPC) 方法面临与异步系统信息和约束处理的局限性.

    研究的目的:

    • 在DoS攻击下,为不确定的马尔科夫跳跃网络物理系统 (MJCPSs) 开发一个异步的耐攻击控制方案.
    • 为了应对控制中心未被观察到的系统运行模式的挑战.
    • 提高系统性能,减少MPC中的计算负担.

    主要方法:

    • 提出了一个异步模型预测控制器,它结合了动态和状态反控制器.
    • 引入了一个决策变量,以克服传统MPC中可行的区域限制.
    • 制定可解决的最佳问题,以实现所需的系统性能.

    主要成果:

    • 拟议的异步MPC方案有效地容忍不确定的MJCPS中的DoS攻击.
    • 动态控制器允许在线性能调整,并扩展最初可行的区域.
    • 该方法减轻了在线计算负担,克服了传统的MPC限制.

    更多相关视频

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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    Operation of the Collaborative Composite Manufacturing CCM System
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    Operation of the Collaborative Composite Manufacturing CCM System

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    相关实验视频

    Last Updated: Jun 18, 2025

    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
    09:46

    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

    Published on: May 10, 2012

    12.6K
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

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    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    6.6K

    结论:

    • 开发的异步MPC为不确定MJCPS的攻击耐受性控制提供了强大的解决方案.
    • 该控制器增强了系统对DoS攻击的弹性,同时管理了计算复杂性.
    • 拟议的方法通过成功的应用示例来证明其实际可用性.