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 and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

73
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
73
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

68
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
68
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

90
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
90
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

133
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
133
Control System Problem01:21

Control System Problem

93
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...
93
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

74
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...
74

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

Generalized dynamics of cross-feeding bacteria.

Journal of the Royal Society, Interface·2026
Same author

Functional motifs in food webs and networks.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Explainable AI for analyzing the decision of GNNs at predicting dynamic stability of complex oscillator networks.

Chaos (Woodbury, N.Y.)·2025
Same author

Route to chaos in multi-species ecosystems.

Chaos (Woodbury, N.Y.)·2025
Same author

Cross-feeding creates tipping points in microbiome diversity.

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

Hypergraph reconstruction from dynamics.

Nature communications·2025

相关实验视频

Updated: May 14, 2025

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

适应性动态网络的相位和增强稳定性.

Nina Kastendiek1, Jakob Niehues2,3, Robin Delabays4

  • 1Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, 26129 Oldenburg, Germany.

Chaos (Woodbury, N.Y.)
|May 13, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了一种新的方法来分析自适应动态网络的稳定性,将它们视为反循环. 这种方法为线性稳定提供了局部条件,简化了复杂系统的分析.

更多相关视频

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
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

相关实验视频

Last Updated: May 14, 2025

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
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

科学领域:

  • 复杂的系统复杂的系统.
  • 网络科学 网络科学
  • 控制理论 控制理论

背景情况:

  • 适应性动态网络具有相互连接的节点和边缘动态.
  • 了解这些系统的稳定性对于预测它们的行为至关重要.

研究的目的:

  • 在自适应动态网络中推导出局部,足够的线性稳定条件.
  • 应用一种新的控制理论方法来分析网络稳定性.

主要方法:

  • 建模适应性网络作为节点和边缘动态之间的闭式反循环.
  • 使用控制理论原则进行稳定性分析.
  • 根据线性化系统行为推导局部条件.

主要成果:

  • 在适应性网络中建立了局部,足够的条件来实现稳定状态的线性稳定性.
  • 成功地将该方法应用于自适应的库拉莫托模型,恢复已知的结果并解决稳定性问题.
  • 证明了该方法对异质系统的适用性.

结论:

  • 反循环框架简化了适应性网络中的稳定性分析.
  • 衍生条件为评估多样化和复杂系统的稳定性提供了强大的工具.
  • 这种方法可以在高度异质的网络环境中简单地进行稳定性评估.