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相关概念视频

Feedback control systems01:26

Feedback control systems

315
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...
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Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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Controller Configurations01:22

Controller Configurations

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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...
101
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
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Control Systems01:10

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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...
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预定义的准确性适应性跟踪控制非线性多代理系统与未建模的动力学.

Dajie Yao, Xiangpeng Xie, Chunxia Dou

    IEEE transactions on cybernetics
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    概括
    此摘要是机器生成的。

    本研究介绍了非线性多代理系统 (MAS) 的自适应动态表面跟踪控制,解决了未建模的动态和输入量化. 拟议的方法确保共识错误通过辐射基函数神经网络和动态表面控制汇聚到预定义的准确度.

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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
    • 网络化系统 网络化系统

    背景情况:

    • 非线性多代理系统 (MAS) 由于未建模的动态和输入量化,在控制方面存在挑战.
    • 在这样的系统中实现精确的跟踪控制是复杂的,需要先进的方法.

    研究的目的:

    • 为非线性MAS开发一个适应性的动态表面跟踪控制策略.
    • 解决未建模的动态和输入量化问题,同时确保预定义的准确性.
    • 为了减轻MAS控制中常见的"复杂性爆炸"问题.

    主要方法:

    • 使用辐射基函数神经网络 (RBFNNs) 来估计未知的非线性函数.
    • 引入一个动态信号来管理未建模的动态.
    • 使用非线性过器应用动态表面控制 (DSC) 来防止复杂性爆炸.
    • 使用两个关键功能来实现预定义的精度控制.

    主要成果:

    • 设计的控制器有效地管理未建模的动态和输入量化.
    • 在MAS中的共识错误汇聚到预先确定的准确度水平.
    • 模拟结果验证了拟议的控制策略的有效性.

    结论:

    • 拟议的自适应动态表面控制策略对非线性MAS有效.
    • 该方法成功地实现了预定义的准确性,尽管系统的不确定性和局限性.
    • 该方法为复杂的MAS控制问题提供了可行的解决方案.