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

Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.2K
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

671
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
671
Dynamic Equilibrium02:20

Dynamic Equilibrium

61.6K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
61.6K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

6.5K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
6.5K
Hydraulic Jump: Problem Solving01:16

Hydraulic Jump: Problem Solving

451
To analyze a hydraulic jump in a rectangular channel with a flow speed of 6 meters per second, follow these steps:Calculate Effective Upstream Velocity:When the downstream gate closes, a hydraulic jump forms, traveling upstream at 2 meters per second. This wave speed combines with the initial channel flow velocity, creating an effective upstream velocity.Identify Flow Velocities Before and After the Hydraulic Jump:Upstream of the hydraulic jump, the effective flow velocity includes both the...
451
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

376
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...
376

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

Prediction of microvascular invasion in hepatocellular carcinoma using contrast-enhanced ultrasound and deep learning.

Nature communications·2026
Same author

Controllable synthesis of small-sized Pd nanoparticles on acetic acid-modified halloysite for enhanced toluene oxidation.

Scientific reports·2026
Same author

Alternative splicing of Scn9a exon 5: mechanistic insights and therapeutic potential in pain disorders.

Human molecular genetics·2026
Same author

Risk prediction models for imported infectious diseases: A systematic review.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2026
Same author

Net effect of urbanization on vegetation dynamics in city surrounding zones in China's arid regions: spatiotemporal patterns and driving mechanisms.

Environmental monitoring and assessment·2026
Same author

Mixture Pulsation Model-Based Decision-Making for Resource-Efficient Scheduling in Large-Scale Assembly Lines.

IEEE transactions on cybernetics·2026

相关实验视频

Updated: Jan 10, 2026

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

1.3K

基于HSMS的事件触发的自适应动态编程,用于多代理系统的追逐-逃避差分游戏.

Haoyan Zhang, Yingwei Zhang, Xudong Zhao

    IEEE transactions on cybernetics
    |November 21, 2025
    PubMed
    概括

    本研究介绍了追逐逃跑游戏中多代理系统的最佳控制策略. 它使用自适应动态编程和新的目标分配算法来改善协调和资源效率.

    科学领域:

    • 机器人和控制系统 机器人和控制系统
    • 游戏理论 游戏理论
    • 人工智能的人工智能

    背景情况:

    • 多代理系统 (MAS) 在追逐-逃避差异游戏 (PEDG) 中面临复杂的协调挑战.
    • 现有的控制策略往往在沟通开销和低于最佳的资源配置方面扎.
    • 在管理个体代理目标的同时,确保团队一致的行为至关重要.

    研究的目的:

    • 为多代理追逐逃跑游戏开发一个分布式的近似最佳控制方案.
    • 在多代理系统中提高协调和通信效率.
    • 为了应对追求者代理人之间动态目标分配的挑战.

    主要方法:

    • 使用划分和征服的代数图形方法来制定代理相互作用.
    • 实施一个状态事件触发机制 (ETM) 来保护通信资源.
    • 聚合物层次滑动模式表面 (HSMS) 的设计,以改善系统响应.
    • 开发一种新的动态目标分配算法,用于合理的追求者分配.
    • 应用自适应动态编程 (ADP) 与单关键神经网络 (NN) 解决汉密尔顿 - 雅各比 - 贝尔曼 (HJB) 方程以实现最佳控制政策.

    主要成果:

    • 提出的基于HSMS的事件触发的最佳控制政策有效地管理了MAS中的PEDG问题.

    更多相关视频

    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

    相关实验视频

    Last Updated: Jan 10, 2026

    A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
    06:25

    A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

    Published on: May 16, 2025

    1.3K
    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
  • 动态目标分配算法增强了追逐者之间的团队协调.
  • 状态事件触发机制大大节省了通信资源.
  • 模拟证明了控制方案的有效性在一个两个追求者-两个逃避者情景.
  • 结论:

    • 结合HSMS,ETM和ADP的综合方法为PEDG中的分布式最佳控制提供了强大的解决方案.
    • 该研究验证了拟议方法在改善协调,资源管理和整体系统性能方面的有效性.
    • 这项研究有助于推进复杂的多代理系统的智能控制策略.