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相关概念视频

Classification of Systems-II01:31

Classification of Systems-II

136
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
136
Difference Equation Solution using z-Transform01:24

Difference Equation Solution using z-Transform

264
The z-transform is a powerful tool for analyzing practical discrete-time systems, often represented by linear difference equations. Solving a higher-order difference equation requires knowledge of the input signal and the initial conditions up to one term less than the order of the equation.
The z-transform facilitates handling delayed signals by shifting the signal in the z-domain, which corresponds to delaying the signal in the time domain, and advancing signals by similarly shifting in the...
264
First Order Systems01:21

First Order Systems

86
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
86
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

68
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
68
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
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相关实验视频

Updated: Jun 10, 2025

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
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Published on: May 25, 2019

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一个数据驱动的,为未知的时间变化系统提供保证的区域位估计.

Xiang Ma1, Xinggao Liu1

  • 1School of Control Science and Engineering, Zhejiang University, Hangzhou 310058, China.

ISA transactions
|October 17, 2024
PubMed
概括
此摘要是机器生成的。

本研究提出了一种数据驱动的方法,用于在未知的时间变化系统中使用区域可达性分析来估计状态. 该方法确保系统状态保持在一个紧的,有保证的估计范围内.

关键词:
数据驱动的数据驱动.国家估计国家估计.时间变化的系统.地区特种类型 Zonotope

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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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科学领域:

  • 控制系统工程 控制系统工程
  • 系统理论系统理论
  • 应用数学 应用数学 应用数学

背景情况:

  • 时间变化的系统很普遍,但由于不可预测的参数变化而具有挑战性.
  • 这些系统的准确建模往往是不可行的,需要数据驱动的方法.
  • 现有的状态估计方法与未知的动态和时间变化的参数作斗争.

研究的目的:

  • 为具有未知模型的离散时间变化系统开发数据驱动的状态估计技术.
  • 通过可访问性分析为系统状态估计提供保证的边界.
  • 确保状态估计结果的紧性和有效性.

主要方法:

  • 使用区域可达性分析来处理系统模型中的不确定性.
  • 计算一个具有时间变化的矩阵zonotope,包括所有可能的系统模型从先前的数据.
  • 代地获得一个超近似的可达到的系统状态的zonotope.
  • 使用P半径定义,证明可达到的区域极点的边界性.

主要成果:

  • 一种用于计算未知离散时间变化系统的超近似可达到的区域图的方法.
  • 保证将实际的系统状态纳入计算估计范围.
  • 证明了状态估计结果的紧性.
  • 通过数值示例和电路系统模拟进行验证.

结论:

  • 拟议的数据驱动方法有效地估计了未知的时间变化系统的状态.
  • 区域拓展可达性分析为处理模型不确定性提供了一个强大的框架.
  • 该方法确保可靠和紧的状态估计,适用于现实世界的系统.