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

Controller Configurations01:22

Controller Configurations

352
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...
352
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

375
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...
375
Feedback control systems01:26

Feedback control systems

687
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...
687
Control Systems01:10

Control Systems

1.8K
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...
1.8K
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.6K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.6K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

345
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,...
345

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

Complete genome sequence of Erythrobacter seohaensis SW-135<sup>T</sup> sheds light on the ecological role of the genus Erythrobacter for phosphorus cycle in the marine environment.

Marine genomics·2020
Same author

The micropeptide LEMP plays an evolutionarily conserved role in myogenesis.

Cell death & disease·2020
Same author

miR-548e Sponged by ZFAS1 Regulates Metastasis and Cisplatin Resistance of OC by Targeting CXCR4 and let-7a/BCL-XL/S Signaling Axis.

Molecular therapy. Nucleic acids·2020
Same author

Association of tiotropium use and the risk of adverse cardiovascular events in patients with chronic obstructive pulmonary disease: a meta-analysis of randomized controlled trials.

European journal of clinical pharmacology·2020
Same author

<i>HuangqiGuizhiWuwu</i> Decoction Prevents Vascular Dysfunction in Diabetes via Inhibition of Endothelial Arginase 1.

Frontiers in physiology·2020
Same author

A metal-semiconductor nanocomposite as an efficient oxygen-independent photosensitizer for photodynamic tumor therapy.

Nanoscale horizons·2020

相关实验视频

Updated: Jan 17, 2026

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

14.2K

对于具有规定的性能约束的机器人系统,基于固定时间学习的最佳跟踪控制.

Zhinan Peng1, Xingyu Zhang1, Zhuo Xia1

  • 1School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Neural networks : the official journal of the International Neural Network Society
|September 24, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了机器人系统的新型控制框架,确保了最佳的跟踪和性能限制. 它使用固定时间学习和动态事件触发控制来提高效率和稳定性.

关键词:
适应式动态编程是适应式的.由动态事件触发的动态事件触发.固定时间的趋同.最佳的跟踪控制跟踪控制.规定的性能限制 规定的性能限制

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

5.4K
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

12.2K

相关实验视频

Last Updated: Jan 17, 2026

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

14.2K
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

5.4K
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

12.2K

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制理论 控制理论
  • 机器学习 机器学习

背景情况:

  • 由于结构和任务要求,机器人系统经常面临性能限制.
  • 在这些限制下确保最佳的跟踪控制是一个重大挑战.

研究的目的:

  • 开发基于固定时间学习的动态事件触发控制框架,用于机器人系统的最佳跟踪.
  • 为了解决机器人系统状态中规定的性能限制.

主要方法:

  • 规定的性能控制 (PPC) 理论来管理状态约束.
  • 只有关键的自适应动态编程 (ADP) 实现最佳的控制规律近似.
  • 固定时间收 (FTC) 重量更新法与同时学习 (CL) 进行神经网络 (NN) 重量估计.
  • 动态事件触发机制,以尽量减少采样和计算.

主要成果:

  • 在放松持久激发下,重量估计误差的保证固定时间收.
  • 已证明闭环系统的稳定性.
  • 通过事件触发机制减少采样实例和计算负载.

结论:

  • 拟议的框架有效地实现了对具有规定的性能约束的机器人系统的最佳跟踪控制.
  • 该方法提高了控制系统的效率和稳定性.
  • 模拟结果验证了拟议方法的有效性和优越性.