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相关概念视频

Network Function of a Circuit01:25

Network Function of a Circuit

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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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Understanding Deception01:14

Understanding Deception

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Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
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Multimachine Stability01:25

Multimachine Stability

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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:
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Propagation of Uncertainty from Random Error00:59

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Fault Types01:18

Fault Types

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When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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相关实验视频

Updated: Jan 13, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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在交换合下使用二进制编码方案的不确定复杂网络的状态和故障估计和欺骗攻击.

Nan Hou1,2,3,4,5, Mengdi Chang2,4,6, Hongyu Gao1,2,3,4,6

  • 1Sanya Offshore Oil & Gas Research Institute of Northeast Petroleum University, Sanya 572025, China.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种用于非线性复杂网络的新型状态和故障估计器,结合二进制编码来管理不确定性和攻击. 该方法确保估计误差是有限的,最大限度地减少了强大的性能的上限.

关键词:
二进制编码方案的二进制编码方案复杂的网络复杂的网络.欺骗攻击 欺骗攻击随机切换的合器可以随机切换.状态和故障估计估计.

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科学领域:

  • 控制系统工程 控制系统工程
  • 网络科学 网络科学
  • 信息理论 信息理论

背景情况:

  • 复杂的网络容易受到参数不确定性,切换合,欺骗攻击和噪声的影响.
  • 现有的估计方法可能无法充分解决非线性系统中的这些联合挑战.

研究的目的:

  • 为非线性复杂网络设计状态和故障估计器.
  • 为了确保估计误差,动态系统是指数式的,最终以平均平方边界.
  • 为了最大限度地减少估计误差的最终上限.

主要方法:

  • 使用马尔科夫链对随机切换现象.
  • 使用二进制编码通过二进制对称通道传输测量信号.
  • 查看随机位翻转作为相当的随机噪声.
  • 应用统计性质分析,莱普诺夫稳定性理论和矩阵不等式技术.
  • 使用MATLAB.使用估计器增益参数解决一个优化问题.

主要成果:

  • 一个状态和故障估计器是为各种不确定性和攻击下的非线性复杂网络设计的.
  • 建立了足够的条件来证明估计者的存在.
  • 估计错误的动态系统被证明是指数式的,最终以平均平方为界.
  • 模拟示例验证了拟议方法的有效性.

结论:

  • 开发的状态和故障估计器有效地处理具有参数不确定性,切换合,欺骗攻击和随机噪声的非线性复杂网络.
  • 该方法为复杂网络估计中的工程应用提供了理论指导.
  • 这种方法丰富了对复杂网络估计的研究环境.