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相关概念视频

Maximum Power Transfer01:16

Maximum Power Transfer

278
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
278
Conservation of Energy: Application01:12

Conservation of Energy: Application

7.0K
When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
7.0K
Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

858
Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
858
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

9.0K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
9.0K
Conservation of Energy00:54

Conservation of Energy

9.3K
The terms 'conserved quantity' and 'conservation law' have specific scientific meanings in physics, which differ from the meanings associated with their everyday use. For example, in everyday usage, water could be conserved by not using it, by using less of it, or by re-using it. However, in scientific terms, a conserved quantity of a system stays constant, changes by a definite amount that is transferred to other systems, and is converted into other forms of that...
9.3K
Energy Associated With a Charge Distribution01:21

Energy Associated With a Charge Distribution

1.6K
The work done to bring a charge through a distance r is given by the potential difference between the initial and the final position. To assemble a collection of point charges, the total work done can be expressed in terms of the product of each pair of charges divided by their separation distance, defined with respect to a suitable origin. Solving this expression gives the energy stored in a point charge distribution.
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相关实验视频

Updated: Jul 15, 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

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针对远程状态估计的能量限制的最佳隐形攻击.

Xuan Liu, Guang-Hong Yang

    IEEE transactions on cybernetics
    |September 28, 2023
    PubMed
    概括

    本研究介绍了网络物理系统的能量受限隐形攻击策略. 它优化攻击信号和计划,以有效降低远程状态估计性能.

    科学领域:

    • 网络物理系统 网络物理系统
    • 控制理论 控制理论
    • 网络安全 网络安全

    背景情况:

    • 网络物理系统中的远程状态估计容易受到隐形攻击.
    • 对攻击者的能量限制使得设计有效的攻击策略变得复杂.
    • 现有的方法通常假定规定的攻击信号,限制最佳性.

    研究的目的:

    • 为远程状态估计开发一种能源受限的隐形攻击策略.
    • 协同设计攻击信号和计划,以最大限度地降低估计性能.
    • 解决攻击计划和信号之间的合问题,而不会牺牲最佳性.

    主要方法:

    • 建议采用两步的方法:根据给定的时间表得出最佳攻击信号,然后找到最佳时间表.
    • 使用搜索空间缩小算法解决非线性0-1编程问题.
    • 该方法有效地消除非最佳解决方案,以找到最佳的攻击策略.

    主要成果:

    • 拟议的战略有效地降低了在能源限制下远程状态估计性能.
    • 协作设计框架成功地解决了攻击信号和时间表之间的合问题.
    • 模拟结果验证了理论发现和拟议方法的有效性.

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    结论:

    • 开发的能源有限的隐形攻击策略是最佳和高效的.
    • 这项研究为分析和设计网络物理系统中复杂攻击提供了强大的方法.
    • 这些发现有助于提高远程状态估计系统的安全性和弹性.