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相关概念视频

Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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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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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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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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BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
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Linear time-invariant Systems01:23

Linear time-invariant Systems

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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
407
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:
229
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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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...
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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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非线性MIMO多代理系统在色通道上的无模型自适应式耐故障形成控制

Qian Wang, Shangtai Jin, Zhi Weng

    IEEE transactions on cybernetics
    |August 25, 2025
    PubMed
    概括

    本研究引入了非线性多剂系统 (MAS) 的无模型自适应式故障耐受形成控制 (MFAFTFC) 方案. 拟议的方法有效地管理执行器故障和通道色,以实现形成目标.

    科学领域:

    • 控制系统工程
    • 机器人技术
    • 人工智能

    背景情况:

    • 多代理系统 (MAS) 面临诸如执行器故障和通道色等挑战.
    • 这些问题使非线性连续时间多输入多输出 (MIMO) 形成控制变得复杂.

    研究的目的:

    • 开发一个无模型的自适应性故障耐受性形成控制 (MFAFTFC) 方案.
    • 在非线性连续时间MIMO MAS中解决执行器故障和通道色.

    主要方法:

    • 使用采样数据全形式动态线性化 (SD-FFDL) 技术.
    • 集成基于数据的形成控制,模糊神经网络 (FNN) 和投影算法.
    • 提供了对MFAFTFC计划的严格稳定性分析.

    主要成果:

    • 拟议的MFAFTFC计划成功实现了形成控制目标.
    • 通过与无人地面车辆 (UGV) 的模拟比较证明了有效性.

    结论:

    • 对于非线性连续时间的MIMO MAS,MFAFTFC方案是有效的.
    • 该方法可稳定处理执行器故障和形成控制中的色通道.

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