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相关概念视频

Feedback control systems01:26

Feedback control systems

746
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...
746
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
441
Control Systems01:10

Control Systems

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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
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.8K
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...
1.8K
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

1.0K
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
1.0K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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相关实验视频

Updated: Feb 28, 2026

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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在混合网络攻击下的非线性多代理系统的弹性共识控制:基于干扰观察者的神经网络方法.

Huiyan Zhang, Yu Huang, Ning Zhao

    IEEE transactions on cybernetics
    |February 26, 2026
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了面临混合网络攻击和干扰的非线性多代理系统 (MAS) 的弹性共识控制. 这种新的方法确保了系统稳定性和在复杂的对抗条件下可靠运行.

    相关实验视频

    Last Updated: Feb 28, 2026

    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

    5.2K

    科学领域:

    • 控制系统工程 控制系统工程
    • 网络安全 网络安全
    • 人工智能的人工智能

    背景情况:

    • 多代理系统 (MAS) 容易受到混合网络攻击,包括虚假数据注入 (FDI) 和拒绝服务 (DoS) 攻击.
    • 外部干扰和固有的非线性动态进一步挑战了MAS的稳定性和共识.

    研究的目的:

    • 开发一种基于观察者的新型自适应神经网络控制策略,用于非线性领导者遵循的MAS.
    • 解决混合网络攻击,外部干扰和系统非线性等综合影响.

    主要方法:

    • 使用维度扩展方法来建模和补偿虚假数据注入 (FDI) 攻击.
    • 拒绝服务 (DoS) 攻击的概率特征是使用伯努利变量.
    • 一个级联观察员被设计用于状态和干扰估计,并结合了干扰脱.
    • 适应性神经网络被用来近似非线性动态,增强强性.

    主要成果:

    • 拟议的控制方法有效地减轻混合网络攻击,包括外国直接投资和DoS攻击.
    • 级联观察员准确地估计了系统状态和外部干扰.
    • 适应性神经网络补偿了非线性,提高了系统的弹性.
    • 模拟结果验证了在领导者遵循的MAS中实现弹性共识的有效性.

    结论:

    • 开发的基于观察者的自适应神经网络控制方法为在非线性MAS中实现弹性共识提供了强大的解决方案.
    • 该战略有效地处理涉及混合网络攻击,干扰和非线性动态的复杂场景.