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

Solution Equilibrium and Saturation01:59

Solution Equilibrium and Saturation

22.5K
Imagine adding a small amount of sugar to a glass of water, stirring until all the sugar has dissolved, and then adding a bit more. You can repeat this process until the sugar concentration of the solution reaches its natural limit, a limit determined primarily by the relative strengths of the solute-solute, solute-solvent, and solvent-solvent attractive forces. You can be certain that you have reached this limit because, no matter how long you stir the solution, undissolved sugar remains. The...
22.5K
Feedback control systems01:26

Feedback control systems

754
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...
754
Control Systems01:10

Control Systems

2.0K
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...
2.0K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

451
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...
451
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
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...
1.2K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

426
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...
426

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

Preliminary experimental research of a Ka-band radial transit time oscillator.

The Review of scientific instruments·2020
Same author

Divergent drivers of the microbial methane sink in temperate forest and grassland soils.

Global change biology·2020
Same author

B7-1 and GM-CSF enhance the anti-tumor immune effect of DC-tumor fusion vaccine in the treatment of prostate cancer.

Medical oncology (Northwood, London, England)·2020
Same author

Recent progress in the development of upconversion nanomaterials in bioimaging and disease treatment.

Journal of nanobiotechnology·2020
Same author

Systematic Identification and Functional Analysis of Circular RNAs During Rice Black-Streaked Dwarf Virus Infection in the <i>Laodelphax striatellus</i> (Fallén) Midgut.

Frontiers in microbiology·2020
Same author

Inhibition of MAPT enhances the effect of bexarotene and attenuates the damage after traumatic brain injury using in vivo and in vitro experiments.

Folia neuropathologica·2020

相关实验视频

Updated: Mar 7, 2026

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

5.5K

在输入和下,分散的最佳领导者遵循MAS的共识控制:斯塔克尔伯格游戏方法

Haitao Wang, Qingshan Liu, Ju H Park

    IEEE transactions on cybernetics
    |March 5, 2026
    PubMed
    概括
    此摘要是机器生成的。

    本研究提出了一种新的方法,用于在非线性多代理系统 (MAS) 中进行最佳状态观测和领导者遵循共识,使用Stackelberg游戏和模糊增强学习,确保系统稳定性.

    相关实验视频

    Last Updated: Mar 7, 2026

    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

    5.5K

    科学领域:

    • 控制系统工程 控制系统工程
    • 人工智能的人工智能
    • 游戏理论 游戏理论

    背景情况:

    • 多代理系统 (MAS) 在状态观察和共识方面面临挑战,其中存在未知的动态和有限的领导状态可访问性.
    • 在非线性MAS中输入和使控制设计和状态估计复杂化.

    研究的目的:

    • 为了在Stackelberg游戏框架下实现非线性MAS与输入和的最佳状态观测和领导者遵循共识.
    • 制定一个强大的控制策略,解决未知的系统动态和部分领导状态信息.

    主要方法:

    • 一个用于领导状态估计的分布式估计算法.
    • 一个基于游戏的观察者设计,考虑双向动态交互.
    • 模糊增强学习以近似未知动态并导出最佳控制器.
    • 利亚普诺夫稳定性分析,以保证闭环信号的统一终极边界性.

    主要成果:

    • 为观察者开发了一个最佳的辅助控制器和一个最佳的共识控制器.
    • 模糊增强学习方法成功地近似了未知的动态.
    • 所有闭环信号都被证明是统一的最终边界,证实了系统的稳定性.

    结论:

    • 提出的方法有效地在复杂的非线性MAS中实现了最佳状态观察和领导者遵循的共识.
    • 斯塔克尔伯格游戏理论和模糊增强学习的整合为强大的控制设计提供了一个强大的框架.
    • 模拟结果验证了开发的方法的实际适用性和性能.