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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

645
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...
645
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

107
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
107
Distributed Loads01:19

Distributed Loads

533
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
533
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

626
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
626
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

14.0K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
14.0K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.1K
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...
4.1K

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

Artificial intelligence deep learning algorithm for discriminating ungradable optical coherence tomography three-dimensional volumetric optic disc scans.

Neurophotonics·2019
Same author

LncTarD: a manually-curated database of experimentally-supported functional lncRNA-target regulations in human diseases.

Nucleic acids research·2019
Same author

Comparative Proteomics Analysis of Human Liver Microsomes and S9 Fractions.

Drug metabolism and disposition: the biological fate of chemicals·2019
Same author

miR-181b/Oncostatin m axis inhibits prostate cancer bone metastasis via modulating osteoclast differentiation.

Journal of cellular biochemistry·2019
Same author

Transcriptomic and metabolomic profiling provide novel insights into fruit development and flesh coloration in Prunus mira Koehne, a special wild peach species.

BMC plant biology·2019
Same author

Genome-wide Dissection of Co-selected UV-B Responsive Pathways in the UV-B Adaptation of Qingke.

Molecular plant·2019

相关实验视频

Updated: Jun 28, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

542

在对抗性环境下的网络物理系统的弹性分布式优化:基于事件的方法.

Zirui Liao1, Shaoping Wang2, Jian Shi2

  • 1School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China; Ningbo Institute of Technology, Beihang University, Ningbo, 315800, China; Shenyuan Honors College, Beihang University, Beijing, 100191, China.

ISA transactions
|April 20, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种由事件触发的算法,用于网络物理系统 (CPS) 中的弹性分布式优化,以确保尽管存在对抗性攻击,但仍能实现代理融合. 该方法提高了准确性,并减少了微电网经济调度等实际应用的通信开销.

关键词:
网络物理系统 网络物理系统分布式优化 分布式优化事件触发机制 事件触发机制弹性算法是一种弹性算法.

更多相关视频

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K

相关实验视频

Last Updated: Jun 28, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

542
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.4K

科学领域:

  • 网络物理系统 (CPSs) 是指
  • 分布式优化 分布式优化
  • 控制理论 控制理论

背景情况:

  • 网络物理系统需要强大的优化算法,以便在敌对条件下可靠地运行.
  • 现有的分布式优化方法往往缺乏对复杂的网络攻击的弹性.
  • 事件触发机制为高效和安全的分布式控制提供了潜力.

研究的目的:

  • 为网络物理系统 (CPS) 开发一种弹性分布式优化算法,在敌对环境下有效运行.
  • 针对两个特定的攻击场景:f-总和f-局部攻击.
  • 为了确保良性代理商的趋同和最佳性,尽管有恶意代理商的行为.

主要方法:

  • 一个事件触发机制集成到分布式优化框架中.
  • 该算法旨在优化多个代理的平均凸成本函数.
  • 理论分析用于在攻击场景下推导收和最佳性条件.

主要成果:

  • 拟议的具有事件触发 (RDO-E) 算法的弹性分布式优化保证了良性代理在f-总和f-局部攻击下以有限的错误范围趋同.
  • 建立了最佳性条件,确保即使有恶意代理,也能达到安全区间的趋同.
  • 数字示例表明,与现有的弹性算法相比,它具有更高的准确性和更低的通信开销.

结论:

  • RDO-E算法为在对抗性CPS环境中分布式优化提供了强大的和高效的解决方案.
  • 该算法的实际可行性通过在多微电网系统中成功应用于弹性经济调度问题来验证.