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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

135
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
135
PD Controller: Design01:26

PD Controller: Design

260
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
260
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

409
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
409
PI Controller: Design01:24

PI Controller: Design

313
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
313
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

432
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
432
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

87
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,...
87

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

SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generation.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Generative AI-Driven Ergonomics: A Virtual-Real Hybrid Experiment for Human Factors Engineering.

IEEE transactions on cybernetics·2025
Same author

A Visual Benchmark for Autonomous Driving in Open-Pit Mines.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

A NIR dual-channel fluorescent probe for detecting viscosity and ONOO<sup>-</sup> in vitro and vivo.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2025
Same author

Scene as Occupancy and Reconstruction: A Comprehensive Dataset for Unstructured Scene Understanding.

Scientific data·2025
Same author

Parallel Control With Adaptive Critic-Actor Learning Implementation for State and Input Time-Delayed Nonlinear Continuous-Time Systems.

IEEE transactions on cybernetics·2025
Same journal

Relaxed Stability Conditions for Model Predictive Control of Hybrid Dynamical Systems Using Hybrid Recurrent Neural Networks.

IEEE transactions on cybernetics·2026
Same journal

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models.

IEEE transactions on cybernetics·2026
Same journal

A Quantum Self-Attention Neural Network Model on Quantum Circuits.

IEEE transactions on cybernetics·2026
Same journal

Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control.

IEEE transactions on cybernetics·2026
Same journal

A Novel One-Step Small Object Detector for Autonomous Aerial Vehicles.

IEEE transactions on cybernetics·2026
Same journal

Online Data-Driven-Based Optimal Output Tracking Control Without Initial Stabilizing Policy.

IEEE transactions on cybernetics·2026
查看所有相关文章

相关实验视频

Updated: Jul 14, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.7K

基于自适应动态编程的强大的最佳并行跟踪控制.

Qinglai Wei, Shanshan Jiao, Fei-Yue Wang

    IEEE transactions on cybernetics
    |October 9, 2023
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了对具有不确定性的非线性系统的强大的最佳并行跟踪控制. 这种新的方法使用神经网络和自适应动态编程来有效管理不确定性.

    更多相关视频

    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    14.9K
    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    6.6K

    相关实验视频

    Last Updated: Jul 14, 2025

    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
    09:01

    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

    Published on: April 4, 2017

    8.7K
    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    14.9K
    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    6.6K

    科学领域:

    • 控制理论 控制理论
    • 非线性系统是非线性系统.
    • 适应式动态编程 (ADP) 是一种动态编程.

    背景情况:

    • 连续时间 (CT) 非线性系统经常面临不确定性,使控制设计复杂化.
    • 强大的控制对于保持系统性能至关重要,尽管有不可预测的变化.

    研究的目的:

    • 为具有不确定性的CT非线性系统开发一种新的,强大的,最佳的并行跟踪控制方法.
    • 在存在未知干扰的情况下,提高系统稳定性和性能.

    主要方法:

    • 使用虚拟控制器和增强状态向量,将非线性系统转换为亲系系统.
    • 开发一个并行控制系统,其中包含一个虚拟控制规律和来自最佳控制解决方案的辅助变量.
    • 利用关键神经网络 (NN) 来近似汉密尔顿-雅各比-贝尔曼 (HJB) 方程,通过自适应动态编程 (ADP) 实现强大的最佳控制.

    主要成果:

    • 提出的方法有效地转换非线性系统,以实现最佳的控制问题制定.
    • 引入了一种新的并行控制策略,以减轻系统不确定性的影响.
    • 使用神经网络的自适应动态编程成功地接近了最佳控制解决方案.

    结论:

    • 开发的强大的最佳并行跟踪控制方法对于不确定的CT非线性系统非常有效.
    • 模拟结果验证了拟议方法的显著性能和稳定性.