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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

392
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
392
Reinforcement01:23

Reinforcement

839
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
839
Reinforcement Schedules01:24

Reinforcement Schedules

459
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
459
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.4K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
3.4K
Transformers in Distribution System01:27

Transformers in Distribution System

498
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
498
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K

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

Phocaeicola vulgatus improves anxiety-like behavior by ameliorating amygdala neuroinflammation and the neurite impairment in IBS.

Translational psychiatry·2026
Same author

Data-Driven Optimized Output Regulation for Markov Jump Linear Systems and Its Application.

IEEE transactions on cybernetics·2026
Same author

Prognostic value of brain natriuretic peptide and N-terminal pro b-type natriuretic peptide in patients with cardiac arrest: A systematic review and meta-analysis.

Pakistan journal of medical sciences·2026
Same author

A New Concept of Costal Cartilage Harvest in the Reduction of Postoperative Pain at Donor Site.

Aesthetic plastic surgery·2026
Same author

Diffusion Graph Transformer for Learning Controllability Robustness in Large-Scale Networks.

IEEE transactions on cybernetics·2026
Same author

Clinical outcomes of anterior diastema closures with resin injection technique using a 3D printed template: A clinical study.

The Journal of prosthetic dentistry·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: Jan 16, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.8K

分布式过网强化学习用于在异构的多层多代理系统中实现输出共识.

Jiacheng Wu, Bosen Lian, Changyun Wen

    IEEE transactions on neural networks and learning systems
    |September 29, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究解决了使用新的FilterNet强化学习 (RL) 架构的多代理系统中的领导者-追随者共识问题. 过网框架有效地达成共识,优于现有方法.

    更多相关视频

    Automated Interactive Video Playback for Studies of Animal Communication
    07:21

    Automated Interactive Video Playback for Studies of Animal Communication

    Published on: February 9, 2011

    14.0K

    相关实验视频

    Last Updated: Jan 16, 2026

    The HoneyComb Paradigm for Research on Collective Human Behavior
    06:48

    The HoneyComb Paradigm for Research on Collective Human Behavior

    Published on: January 19, 2019

    9.8K
    Automated Interactive Video Playback for Studies of Animal Communication
    07:21

    Automated Interactive Video Playback for Studies of Animal Communication

    Published on: February 9, 2011

    14.0K

    科学领域:

    • 控制理论 控制理论
    • 多代理系统 多代理系统
    • 游戏理论 游戏理论

    背景情况:

    • 在复杂的多代理系统中研究领导者-追随者共识,由于异质动态和内部代理目标,提出了挑战.
    • 现有的方法往往在这种系统的去中心化控制和数据管理方面扎.

    研究的目的:

    • 开发一个分布式控制框架,以在具有异质动态和多个内部参与者的多代理系统中实现输出共识.
    • 设计一个强化学习 (RL) 架构,使得有效的,分散的控制,没有大量的数据存储.

    主要方法:

    • 制定了这个问题作为每个代理的多人差分游戏,旨在控制纳什平衡.
    • 引入了一个分布式控制框架,集成了前 (调节器) 和反 (游戏理论里卡蒂) 组件.
    • 开发了一个四层的FilterNet RL架构,用于政策识别,初始化,异步更新和实时控制.

    主要成果:

    • 过网架构有效地解决了控制解决方案,减少了数据需求并加速了融合.
    • 理论上的保证证实了拟议方法的可靠性和趋同性.
    • 数字模拟表明了FilterNet方法的有效性和优越性,与现有的方法相比.

    结论:

    • 拟议的FilterNet RL框架为复杂的多代理系统中的领导者-追随者共识问题提供了强大而高效的解决方案.
    • 这种方法通过有效地整合游戏理论和强化学习来推进分散的控制策略.