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

Alternative Sets of Equilibrium Equations01:31

Alternative Sets of Equilibrium Equations

401
When analyzing the behavior of structures, engineers often rely on the concept of equilibrium. This refers to the state where all forces and moments acting on a system balance each other, resulting in no net movement or rotation. In many cases, equilibrium can be described by a set of standard equations. However, in some situations, alternative sets of equilibrium equations must be used to describe the system's behavior accurately.
One example of such a situation can be observed in a...
401
Dynamic Equilibrium02:20

Dynamic Equilibrium

51.7K
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;...
51.7K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

62
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
62
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

612
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
612
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

458
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
458
Multimachine Stability01:25

Multimachine Stability

168
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
168

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

Evolution modeling and control of networked dynamic games with event-triggering mechanism.

Chaos (Woodbury, N.Y.)·2025
Same author

Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content in <i>Ginkgo</i> from Bidirectional Reflectance Factor Spectra.

Plant phenomics (Washington, D.C.)·2024
Same author

Fixed-time synchronization for two-dimensional coupled reaction-diffusion complex networks: Boundary conditions analysis.

Chaos (Woodbury, N.Y.)·2024
Same author

How to regulate pattern formations for malware propagation in cyber-physical systems.

Chaos (Woodbury, N.Y.)·2024
Same author

Final epidemic size and critical times for susceptible-infectious-recovered models with a generalized contact rate.

Chaos (Woodbury, N.Y.)·2024
Same author

Early warning of tipping in a chemical model with cross-diffusion via spatiotemporal pattern formation and transition.

Chaos (Woodbury, N.Y.)·2023
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
Same journal

Data-driven soliton manifold approximations for dark and bright waves: Some prototypical 1D case examples.

Chaos (Woodbury, N.Y.)·2026
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026
查看所有相关文章

相关实验视频

Updated: Jul 13, 2025

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

9.4K

分布惯性在线游戏算法用于跟踪概括的纳什平衡.

Haomin Bai1, Wenying Xu1, Shaofu Yang2

  • 1School of Mathematics, Southeast University, Nanjing 211189, China.

Chaos (Woodbury, N.Y.)
|October 13, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种分布式惯性在线游戏 (D-IOG) 算法,用于跟踪动态非合作游戏中的通用纳什平衡 (GNE). 该算法有效地管理时间变化的成本和约束,实现线下遗憾界限.

更多相关视频

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.1K
A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
08:38

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

7.6K

相关实验视频

Last Updated: Jul 13, 2025

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

9.4K
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.1K
A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
08:38

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

7.6K

科学领域:

  • 分布式优化 分布式优化
  • 游戏理论 游戏理论
  • 非合作游戏 非合作游戏
  • 动态系统 动态系统

背景情况:

  • 在具有时变函数的动态环境中跟踪泛纳什平衡 (GNE) 的挑战.
  • 需要分布式算法,可以处理代理人在决策后披露信息.
  • 现有方法在解决合约束和时间变化通信方面的局限性.

研究的目的:

  • 开发一种分布式算法来跟踪非合作游戏中的GNE,这些游戏具有动态成本和合约束函数.
  • 在遗憾和约束违规方面分析拟议算法的性能.
  • 调查惯性和信息传输模式对算法效率的影响.

主要方法:

  • 基于镜像下降的分布式惯性在线游戏 (D-IOG) 算法的建议,用于在没有合约束的情况下进行GNE跟踪.
  • 修改D-IOG算法,使用初级-双元和镜像下降方法,以结合时间变化的合约束.
  • 对遗憾和约束违规行为的上限的推导.

主要成果:

  • D-IOG算法成功地追踪了Nash平衡 (NE) 在时间变化的通信图表上.
  • 后悔的亚线性增长是在步骤大小和惯性参数的特定条件下实现的.
  • 经过修改的D-IOG算法在跟踪GNE中表现出有效性,使用结合约束,并以衍生边界为支持.

结论:

  • 拟议的D-IOG算法在动态非合作游戏中有效用于分布式GNE跟踪.
  • 这些算法为低平均遗憾和可管理的约束违规提供了潜力.
  • 模拟示例验证了开发算法的实际适用性和性能.