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相关概念视频

Control Systems01:10

Control Systems

1.9K
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...
1.9K
Control Systems: Applications01:25

Control Systems: Applications

1.2K
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...
1.2K
Feedback control systems01:26

Feedback control systems

725
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...
725
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.7K
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...
1.7K
Transfer Function in Control Systems01:21

Transfer Function in Control Systems

1.6K
The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
1.6K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
474

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相关实验视频

Updated: Feb 6, 2026

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
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在DoS攻击下的多代理系统的滑动模式控制:一个减少顺序的方法.

Peng Cheng, Di Wu, Rong Nie

    IEEE transactions on cybernetics
    |February 4, 2026
    PubMed
    概括

    本研究介绍了面临拒绝服务 (DoS) 攻击的多代理系统 (MAS) 的滑动模式控制 (SMC) 策略. 该方法确保了有限时间的共识,尽管通信中断和拓变化.

    科学领域:

    • 控制系统工程 控制系统工程
    • 网络安全 网络安全
    • 机器人和自动化 机器人和自动化

    背景情况:

    • 由于外部干扰,多代理系统 (MAS) 在达成共识方面面临挑战.
    • 拒绝服务 (DoS) 攻击可以破坏通信道,导致系统行为不可预测.
    • 网络拓学的随机变化需要先进的建模技术,如马尔科夫跳跃模型.

    研究的目的:

    • 开发一个强大的滑动模式控制 (SMC) 策略,以在随机DoS攻击下的MAS中获得有限时间共识.
    • 为了将共识问题转换为一个随机有限时间边界性 (SFTB) 问题,用于不同意的错误动态.
    • 在有限的时间内确保系统稳定性和融合,即使有间歇性通信.

    主要方法:

    • 引入了一个不同意向量来重新制定共识问题.
    • 马尔科夫跳跃模型捕捉了DoS攻击引起的随机拓切换.
    • 滑动模式控制 (SMC) 规则旨在实现有限时间的融合.
    • 划分政策确保了在达到和滑动阶段的稳定性.
    • 减少顺序的方法解决了潜在的系统失控性.

    主要成果:

    • 建立了不一致错误动态系统的随机有限时间局限性 (SFTB) 的足够条件.

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  • 拟议的SMC战略有效地推动系统在有限的时间内达成共识.
  • 分区政策保证了整个控制过程中的系统稳定性.
  • 多飞机系统模拟验证了拟议的控制方法的有效性.
  • 结论:

    • 开发的SMC战略提供了一个强大的解决方案,用于在DoS攻击下在MAS中获得有限时间的共识.
    • 该方法有效处理随机通信中断和拓变化.
    • 这种方法证明了实际可用性,正如多飞机系统示例所示.