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

PD Controller: Design01:26

PD Controller: Design

199
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,...
199
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

85
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...
85
Control Systems01:10

Control Systems

1.1K
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...
1.1K
PID Controller01:19

PID Controller

110
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
110
Feedback control systems01:26

Feedback control systems

295
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...
295
PI Controller: Design01:24

PI Controller: Design

222
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...
222

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

Metronomic chemotherapy combined with immunotherapy in solid tumor: a systematic review.

Translational cancer research·2026
Same author

A double-edged sword: How social support and loneliness mediate the impact of digital health literacy on well-being among Chinese older adults.

Health informatics journal·2026
Same author

Modulation of Iron-Induced Glucose Metabolic Reprogramming Alleviates Retinal Pigment Epithelial Cell Senescence.

Investigative ophthalmology & visual science·2026
Same author

Boosting the oxygen evolution reaction by bulk-confined Zn doping in NiFe-LDH anchored on stainless steel foam.

Chemical communications (Cambridge, England)·2026
Same author

Ferroptosis in diabetic retinopathy: cellular heterogeneity, progression, and therapeutic targets.

Molecular biology reports·2026
Same author

Upregulation of LINC00665 Correlates with Aggressive Hepatocellular Carcinoma and Poor Prognosis.

Combinatorial chemistry & high throughput screening·2026
Same journal

Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

IEEE transactions on neural networks and learning systems·2026
Same journal

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026
查看所有相关文章

相关实验视频

Updated: Jun 12, 2025

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

数据驱动的代学习模型预测控制与自我修改的先前知识.

Lele Ma, Xiangjie Liu, Furong Gao

    IEEE transactions on neural networks and learning systems
    |September 17, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的代学习模型预测控制 (ILMPC) 方法. 它通过使用自我修改方案和深度神经网络来提高控制性能,提高了适应不同生产需求的适应性.

    更多相关视频

    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
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.4K

    相关实验视频

    Last Updated: Jun 12, 2025

    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
    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
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.4K

    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
    • 制造系统制造系统的制造

    背景情况:

    • 代学习模型预测控制 (ILMPC) 对于批量制造是有效的,但在不同的操作条件下扎.
    • 现有的ILMPC方法需要相同的试验,在生产要求发生变化时限制其使用.

    研究的目的:

    • 开发一种可适应的ILMPC策略,能够处理不合规的先前信息和不同的试验条件.
    • 增强ILMPC在数字化批量制造过程中的灵活性.

    主要方法:

    • 在ILMPC中嵌入了数据驱动的自我修改方案,以调整历史数据以适应当前的试验条件.
    • 适应性深度神经网络 (DNN) 模仿控制动作并生成用于代学习的参考信号.
    • 管控框架用于二维优化,以确保时间域有限的稳定性,减轻DNN近似误差.

    主要成果:

    • 拟议的ILMPC方法证明了对运行参考和持续时间的重大变化具有卓越的适应性.
    • 理论验证证实了开发的ILMPC系统的代域边界融合.
    • 对非线性注塑成型工艺的模拟显示了更好的跟踪性能和干扰排斥.

    结论:

    • 新的ILMPC方法有效地解决了动态制造环境中传统方法的局限性.
    • 集成DNN和自我修改方案增强了ILMPC的稳定性和灵活性.
    • 该方法确保了时间域稳定性和代域融合,以实现可靠的控制.