Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Feedback control systems01:26

Feedback control systems

254
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...
254
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

79
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
79
Control Systems01:10

Control Systems

960
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...
960
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

56
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,...
56
Effects of feedback01:24

Effects of feedback

463
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...
463
Controller Configurations01:22

Controller Configurations

72
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...
72

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Mendelian Randomization to Examine the Causal Effects of Cystatin on Ovarian Lesions.

International journal of women's health·2026
Same author

Circulating cell-free mtDNA fragmentomics for early detection of gastric cancer and precancerous lesions.

Cell reports. Medicine·2026
Same author

ProMA-Net: MR-TRUS prostate registration via a dual-stream Swin Transformer-based network with mixed attention.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Detection and Recurrence Risk Stratification of Gastric Cancer Through DNA Methylation Profiling of Blood.

Laboratory investigation; a journal of technical methods and pathology·2026
Same author

Mixture Pulsation Model-Based Decision-Making for Resource-Efficient Scheduling in Large-Scale Assembly Lines.

IEEE transactions on cybernetics·2026
Same author

Melatonin Improves Storage Quality of Sweetpotato (<i>Ipomoea batatas</i>) by Inhibiting Sprouting, Weight Loss, and Lignification and Elevating Sweetness.

Plants (Basel, Switzerland)·2026

相关实验视频

Updated: May 10, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K

对于神经网络近似的建设性方法,设置了严格反系统的自适应控制.

Yu-Fa Liu, Yong-Hua Liu, Jin-Wa Wu

    IEEE transactions on cybernetics
    |April 21, 2025
    PubMed
    概括

    这项研究引入了一种使用神经网络 (NN) 来适应控制不确定的系统的新方法. 该方法提前确定了NN近似集,改进了控制系统设计.

    科学领域:

    • 控制工程 控制工程 控制工程
    • 人工智能的人工智能
    • 系统动力学系统动力学

    背景情况:

    • 对不确定的系统进行自适应控制是具有挑战性的.
    • 神经网络 (NN) 用于近似的系统功能.
    • 确定严格反系统的NN近似集是一个关键问题.

    研究的目的:

    • 提出一种用于确定神经网络近似集的新方法,用于严格反不确定系统的自适应控制.
    • 确保状态误差界限,并计算NN重量估计器的确切界限.
    • 通过说明性示例来验证拟议的方法.

    主要方法:

    • 信号替换技术用于将系统状态转换为状态错误变量.
    • 屏障函数 (BFs) 限制状态错误,并使绑定计算成为可能.
    • 退步方法与适应性控制的NN相结合.

    主要成果:

    • 提前成功确定了NN的近似集.
    • 使用屏障函数实现了受限制状态错误.
    • 计算了NN重量估计器的确切边界.
    • 通过示例验证了拟议方法的有效性.

    更多相关视频

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    13.6K
    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

    4.3K

    相关实验视频

    Last Updated: May 10, 2025

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    4.9K
    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    13.6K
    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

    4.3K

    结论:

    • 提出的方法为严格反不确定系统的自适应控制提供了一个建设性的解决方案.
    • 信号替换,屏障函数和NN的集成提供了对状态错误和NN近似集的精确控制.
    • 这种方法增强了自适应控制系统的设计和稳定性分析.