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

98
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...
98
Sampling Plans01:23

Sampling Plans

169
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
169
Cluster Sampling Method01:20

Cluster Sampling Method

11.6K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.6K
Relationship Formation02:12

Relationship Formation

39.8K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
39.8K
Systematic Sampling Method01:17

Systematic Sampling Method

10.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
10.0K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

102
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
102

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

Predefined-time formation control of UAV swarm under spatiotemporal constraints.

ISA transactions·2026
Same author

Therapeutic and prophylactic effects of Qipian on COPD in mice: the role of lung and gut microbiota.

Microbiology spectrum·2025
Same author

Stochastic response analysis of a birhythmic oscillator under Poisson white noise excitation via path integration method.

Physical review. E·2024
Same author

Development and Validation of a Blood-Biomarker-Based Predictive Model for HBV-Associated Hepatocellular Carcinoma.

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis·2024
Same author

Mesoscale eddy in situ observation and characterization via underwater glider and complex network theory.

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

Community structure of tropics emerging from spatio-temporal variations in the Intertropical Convergence Zone dynamics.

Scientific reports·2024

相关实验视频

Updated: Jun 8, 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

9.3K

对于具有多个领导者的单一多代理系统的数据采样时间变化的形成.

Fenglan Sun1, Xuemei Yu2, Wei Zhu2

  • 1Key Lab of Intelligent Analysis and Decision on Complex Systems, School of Science, Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China; Key Lab of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China; Department of Complexity Science, Potsdam Institute for Climate Impact Research, Potsdam, 14473, Germany.

Neural networks : the official journal of the International Neural Network Society
|November 7, 2024
PubMed
概括

本研究使用采样数据解决了单一多代理系统的时间变化的形成问题. 一个新的控制协议通过仅在采样时刻传输数据,大大节省了通信能量.

关键词:
多个领导者多个领导者采样数据采集的数据是采样数据.单一的系统是单一的系统.时间变化的形成.

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

2.0K
Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

12.7K

相关实验视频

Last Updated: Jun 8, 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

9.3K
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

2.0K
Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

12.7K

科学领域:

  • 控制理论 控制理论
  • 机器人技术 机器人技术 机器人技术
  • 多代理系统 多代理系统

背景情况:

  • 在单一的多代理系统中研究了复杂的时间变化的形成问题.
  • 解决与在分布式系统中使用采样数据进行控制相关的挑战.

研究的目的:

  • 为具有多个领导者的多代理系统开发一个数据采样的时间变化的形成控制协议.
  • 建立必要和足够的条件,以实现形成功能的可行性.
  • 提出在采样数据条件下的形成跟踪控制的设计方法.

主要方法:

  • 提出了一种新的数据采样控制协议,其中通信仅发生在采样时刻.
  • 导出了形成函数可行性的必要和足够条件.
  • 开发了一种特定的方法来设计训练跟踪控制.

主要成果:

  • 拟议的协议大大节省了控制器通信能量.
  • 为成功的形成控制提供严格的条件.
  • 数字模拟证实了开发的控制策略的有效性.

结论:

  • 该研究成功地提出了一种高效和有效的方法,用于使用采样数据在单一的多剂体系统中进行时间变化的形成控制.
  • 这些发现有助于在分布式多代理应用中节能控制策略.