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相关概念视频

State Space Representation01:27

State Space Representation

237
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
237
Linear time-invariant Systems01:23

Linear time-invariant Systems

289
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...
289
State Space to Transfer Function01:21

State Space to Transfer Function

236
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
236
Cartesian Form for Vector Formulation01:26

Cartesian Form for Vector Formulation

667
The Cartesian form for vector formulation is a process to calculate  the moment of force using the position and force vectors. The moment of force is defined as the cross-product of these vectors, making it a vector quantity. The Cartesian form of the position and force vectors involves unit vectors, which can be used to express the cross-product in determinant form.
667
Space-Time Curvature and the General Theory of Relativity01:17

Space-Time Curvature and the General Theory of Relativity

2.8K
In 1905, Albert Einstein published his special theory of relativity. According to this theory, no matter in the universe can attain a speed greater than the speed of light in a vacuum, which thus serves as the speed limit of the universe.
This has been verified in many experiments. However, space and time are no longer absolute. Two observers moving relative to one another do not agree on the length of objects or the passage of time. The mechanics of objects based on Newton's laws of...
2.8K
Transfer Function to State Space01:23

Transfer Function to State Space

297
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...
297

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相关实验视频

Updated: Jul 19, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K

时空POD和汉克尔矩阵

Peter Frame1, Aaron Towne1

  • 1Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United States of America.

PloS one
|August 10, 2023
PubMed
概括

时间延迟嵌入和奇数值分解 (SVD) 对于减少顺序建模的时空正直角分解 (POD) 模式. 这揭示了汉克尔模式的洞察力,并提高了POD准确性和计算.

科学领域:

  • 动态系统和控制理论.
  • 数据驱动建模数据驱动建模
  • 科学计算科学计算

背景情况:

  • 时间延迟嵌入是数据驱动的减少顺序建模的基础技术.
  • 块汉克尔矩阵的单值分解 (SVD) 是受欢迎的减少顺序建模方法的核心.
  • 了解汉克尔模式的理论基础对于推进这些方法至关重要.

研究的目的:

  • 为了建立一个从时间延迟嵌入和时空正确直角分解 (POD) 模式中得出的汉克尔模式之间的理论联系.
  • 通过将它们与经典的POD理论联系起来,为汉克尔模式提供清晰的解释.
  • 找出改善小序模型准确性和计算效率的机会.

主要方法:

  • 从一个动态系统状态的连续延迟嵌入中构建一个块汉克尔矩阵.
  • 将单数值分解 (SVD) 应用于区块汉克尔矩阵.
  • 分析与时空POD模式和能量相关的左方奇点向量和奇点值.
  • 使用来自汉克尔矩阵的相关性矩阵进行调查.

主要成果:

  • 汉克尔矩阵的左方奇点向量是时空POD模式的离散近似.
  • 单数值对应于POD能量的平方根.
  • 洞察汉克尔模式解释,包括行/列的含义,最佳规范,时间步骤影响和嵌入维度效应.

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  • 证明标准的仅空间POD和光谱POD是该框架的限制案例.
  • 结论:

    • 该研究提供了汉克尔矩阵的SVD与时空POD之间的严格理论联系.
    • 这种联系增强了数据驱动的减少顺序建模技术的可解释性和理论依据.
    • 建立的关系为改善实际应用中的计算效率和准确性提供了途径.