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

Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

171
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...
171
Open and closed-loop control systems01:17

Open and closed-loop control systems

744
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...
744
PD Controller: Design01:26

PD Controller: Design

229
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,...
229
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

313
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...
313
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.7K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
2.7K

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

Clinical Efficacy of Ciliary Ring Incision Combined with Modified Partial Pars Plana Vitrectomy for Malignant Glaucoma.

Medical science monitor : international medical journal of experimental and clinical research·2018
Same author

Application of Cortical Bone Trajectory Screws in Elderly Patients with Lumbar Spinal Tuberculosis.

World neurosurgery·2018
Same author

Early detection of congenital anomalies of the kidney and urinary tract: cross-sectional results of a community-based screening and referral study in China.

BMJ open·2018
Same author

Elongator promotes the migration and invasion of hepatocellular carcinoma cell by the phosphorylation of AKT.

International journal of biological sciences·2018
Same author

Identification of HLA-DQA1 as a Susceptibility Gene for Spinal Tuberculosis by Exome Sequencing.

Medical science monitor : international medical journal of experimental and clinical research·2018
Same author

Structural Alteration of Gut Microbiota during the Amelioration of Human Type 2 Diabetes with Hyperlipidemia by Metformin and a Traditional Chinese Herbal Formula: a Multicenter, Randomized, Open Label Clinical Trial.

mBio·2018

相关实验视频

Updated: Jul 2, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K

基于深度Q网络协作框架的领导追随者无人机的形成控制.

Zhijun Liu1,2, Jie Li1,2, Jian Shen3,4

  • 1Shenzhen MSU-BIT University, Shenzhen, 518172, China.

Scientific reports
|February 26, 2024
PubMed
概括

本研究介绍了一个深度Q网络 (DQN) 框架,用于在动态环境中控制领先的追随者无人机 (UAV). 模拟证实,DQN方法有效调节无人机阵列,确保稳定的动力链接.

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
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 2, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K
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
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:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 航空航天工程 航空航天工程

背景情况:

  • 无人机在动态和不确定的飞行环境中面临着重大挑战.
  • 在复杂的任务中,协调控制多无人机系统至关重要.
  • 现有的控制方法与无人机操作固有的高动力和不确定性作斗争.

研究的目的:

  • 开发和验证一个合作框架来规范领导者和追随者无人机组成.
  • 为应对动态和不确定的无人机飞行环境所带来的控制挑战.
  • 通过智能控制,加强对无人机群体的集体国家监管.

主要方法:

  • 开发一个动态模型,捕捉无人机阵列的集体状态 (相对位置,角度,速度).
  • 应用马尔科夫决策过程 (MDP) 框架来模拟无人机协作操作.
  • 利用强化学习 (RL),特别是深度Q网络 (DQN) 算法,进行控制.
  • 在DQN框架内实施[Formula:见文本]模仿技术来进行行动选择.

主要成果:

  • 数字模拟验证了基于DQN的控制方法的有效性和可移植性.
  • 平均奖励曲线显示出令人满意的趋同,表明学习取得了成功.
  • 形成节点之间的动力联系满足了控制器的基本要求,确保了形成完整性.

结论:

  • 拟议的基于DQN的协作框架有效地规范了在具有挑战性的环境中领导者-追随者无人机组成.
  • 智能控制策略确保了无人机群体内的稳定动力关系.
  • 该研究证实了深度强化学习的稳定性和适用性,用于先进的无人机协调.