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相关概念视频

Feedback control systems01:26

Feedback control systems

685
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...
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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...
384
Control System Problem01:21

Control System Problem

399
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...
399
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.6K
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...
1.6K
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
Control Systems: Applications01:25

Control Systems: Applications

1.1K
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...
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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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基于观察者的多目标控制的交换网络控制系统与多路径数据包失效.

Qunxian Zheng, Shengyuan Xu, Huaicheng Yan

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    此摘要是机器生成的。

    本研究涉及交换网络控制系统 (SNCS) 的基于观察者的控制,其中包括数据包丢失和交换规则丢失. 新的混合策略和多个Lyapunov功能确保了强大的多目标控制性能.

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    相关实验视频

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    科学领域:

    • 控制工程 控制工程 控制工程
    • 网络化系统 网络化系统
    • 系统理论 系统理论

    背景情况:

    • 交换网络控制系统 (SNCS) 面临来自数据包丢失和交换规则丢失的挑战.
    • 现有的研究很少同时处理控制输入,输出和切换规则上的多路径数据包丢失.

    研究的目的:

    • 制定一个以观察员为基础的SNCS多目标控制战略.
    • 为了解决多路径数据包丢失和交换规则丢失的复杂性.

    主要方法:

    • 利用三个独立的伯努利分布随机序列来建模数据包丢失.
    • 设计了新的混合观察器和控制器方案 (模式依赖和模式独立).
    • 在稳定性分析中使用了多重Lyapunov函数 (MLF) 和平均停留时间 (ADT).

    主要成果:

    • 制定了多目标控制问题,以尽量减少 $H_{\infty}$ 和 $L_{2}-L_{\infty}$ 的干扰减弱水平.
    • 通过使用线性矩阵不等式 (LMIs) 来获得观察者参数和控制器收益的新结果.
    • 通过两个说明性例子验证了拟议的方法.

    结论:

    • 拟议的基于观察者的混合控制策略有效地处理SNCS中的多路径数据包丢失和切换规则丢失.
    • 基于LMI的方法提供了一种系统的方式来设计控制器,以实现强大的多目标性能.