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

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
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

488
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...
488
Feedback control systems01:26

Feedback control systems

307
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...
307
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

402
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...
402
Controller Configurations01:22

Controller Configurations

96
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...
96
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

105
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...
105

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

Specialization of bat-fly interactions at different elevations in a montane forest of northern Peru.

Parasitology·2025
Same author

Differential Evolution Algorithm for Fast Gains Learning in a High-Gain Controller.

IEEE transactions on neural networks and learning systems·2025
Same author

Low-cost desktop learning factory to support the teaching of artificial intelligence.

HardwareX·2024
Same author

Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in inverted pendulums.

Neural networks : the official journal of the International Neural Network Society·2023
Same author

Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots.

Neural networks : the official journal of the International Neural Network Society·2023
Same author

Editorial: Anticipatory Systems: Humans Meet Artificial Intelligence.

Frontiers in psychology·2021
Same journal

Dynamic analysis and reliable mechanical optimization application of ring HNN effected with a memristive neuron.

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

DAFF-Net: A detection and search method for small-scale low surface brightness galaxies.

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

Quasi-synchronization for complex networks with hybrid pinning intermittent control.

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

Physics-encoded convolutional neural operators for parametric PDEs: A convergence-guaranteed framework via pre-computed kernel fields.

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

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network.

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

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities.

Neural networks : the official journal of the International Neural Network Society·2026
查看所有相关文章

相关实验视频

Updated: Jun 29, 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

5.0K

基于观察者的差异进化受制控制,用于机器人安全的参考追踪.

José de Jesús Rubio1, Eduardo Orozco1, Daniel Andres Cordova1

  • 1Sección de Estudios de Posgrado e Investigación, ESIME Azcapotzalco, Instituto Politécnico Nacional, Av. de las Granjas no. 682, Col. Santa Catarina, Ciudad de México, 02250, Mexico.

Neural networks : the official journal of the International Neural Network Society
|April 3, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了机器人的受约束控制和观察器,通过控制扭矩和估计扰动来确保机器人的安全运行. 差异进化方法优化控制收益,以实现平衡的性能和能源效率.

关键词:
最好的收益是最好的收益.有限制的控制控制.受到限制的观察者.不同进化优化器的差异进化优化器安全扰动估计安全扰动估计安全的参考追踪安全的参考追踪

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Author Spotlight: A Streamlined and Accessible Analysis Method to Quantify Optokinetic Reflex Tracking Responses
05:26

Author Spotlight: A Streamlined and Accessible Analysis Method to Quantify Optokinetic Reflex Tracking Responses

Published on: April 12, 2024

721

相关实验视频

Last Updated: Jun 29, 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

5.0K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Author Spotlight: A Streamlined and Accessible Analysis Method to Quantify Optokinetic Reflex Tracking Responses
05:26

Author Spotlight: A Streamlined and Accessible Analysis Method to Quantify Optokinetic Reflex Tracking Responses

Published on: April 12, 2024

721

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制系统工程 控制系统工程
  • 优化算法 优化算法

背景情况:

  • 机器人控制器中的高扭矩输入可以导致能源消耗增加.
  • 观察者对干扰的不准确估计可能会对机器人设备造成损害.
  • 安全的参考跟踪和扰动估计对于机器人系统可靠性至关重要.

研究的目的:

  • 为机器人安全的参考追踪提出一个受约束的控制方法.
  • 为了在机器人系统中安全估计干扰,开发一个受约束的观察者.
  • 引入一种优化控制收益的方法,以平衡安全和能源效率.

主要方法:

  • 建议采用基于观察者的差异进化受限控制方法.
  • 一个受约束的观察者是为了安全地估计干扰而设计的.
  • 为了安全的参考追踪,实施了一个受约束的控制策略.
  • 差异进化被用来确定最佳的控制收益.
  • 拟议的控制系统的稳定性在数学上得到了保证.

主要成果:

  • 建议的受约束观察者有效地估计干扰,防止设备损坏.
  • 约束式控制器确保了安全的参考追踪,即使有显著的外部干扰.
  • 差异进化优化成功地识别了控制收益,平衡了安全跟踪和能源消耗.
  • 基于观察者的差异进化受限控制表现出强大的稳定性.
  • 该方法在两个不同的机器人应用中成功应用于安全的参考跟踪.

结论:

  • 开发的基于观察者的差异进化受约束控制为安全和节能机器人操作提供了强大的解决方案.
  • 这种方法通过防止过度扭矩和不准确估计造成的损坏,提高了机器人的安全性.
  • 优化技术提供了一种系统的方式来调整控制参数,以提高现实世界机器人应用中的性能.