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相关概念视频

Feedback control systems01:26

Feedback control systems

681
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...
681
Effects of feedback01:24

Effects of feedback

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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
974
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

378
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...
378
Control Systems01:10

Control Systems

1.8K
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...
1.8K
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.5K
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...
1.5K
Controller Configurations01:22

Controller Configurations

342
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
342

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相关实验视频

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针对非线性多代理系统的反攻击安全模糊自适应输出反控制.

Ziqi Bai, Wenhai Qi, Ju H Park

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    |November 14, 2025
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    概括
    此摘要是机器生成的。

    本研究介绍了一种适应性模糊控制器,用于面临无法测量的状态和拒绝服务 (DoS) 攻击的非线性多代理系统 (MAS). 控制器确保跟踪错误的融合和系统稳定性,通过模拟进行验证.

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    相关实验视频

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    科学领域:

    • 控制系统工程 控制系统工程
    • 人工智能的人工智能
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 多代理系统 (MAS) 通常表现出复杂的非线性动态.
    • 无法测量的状态和拒绝服务 (DoS) 等外部攻击对MAS控制构成重大挑战.
    • 模糊逻辑系统 (FLS) 为近似未知的非线性提供了一个强大的工具.

    研究的目的:

    • 为非线性MAS设计一个适应性的模糊输出反分散控制器.
    • 为了应对无法衡量的状态和DoS攻击所带来的挑战.
    • 确保MAS的强大性能和稳定性.

    主要方法:

    • 模糊逻辑系统 (FLS) 用于近似未知非线性函数.
    • 交换式模糊状态观察器用于估计无法测量的状态.
    • 适应后退和动态表面控制技术用于控制器合成.
    • 利亚普诺夫稳定理论和稳定性分析的平均停留时间 (ADT).

    主要成果:

    • 拟议的控制器确保跟踪错误汇聚到源的小邻里.
    • 保持所有闭环信号的半全球统一终极界限性 (SGUUB).
    • 控制器证明了对DoS攻击的弹性.

    结论:

    • 开发的自适应模糊分散弹性控制器有效地处理具有不可测量的状态和DoS攻击的非线性MAS.
    • 控制策略的有效性通过对倒置摆形和移动机器人系统的模拟来验证.