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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

29
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
18
Typical Model Studies01:30

Typical Model Studies

159
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
159
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

215
The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by...
215
Multimachine Stability01:25

Multimachine Stability

104
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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Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

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In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
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相关实验视频

Updated: May 13, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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使用数据驱动动的动态灵敏度对FMI模型的可访问性分析.

Sergiy Bogomolov1, Cláudio Gomes2, Carlos Isasa2

  • 1School of Computing, Newcastle University, UK.

Simulation
|April 14, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了基于模拟的方法,用于数字双胞胎可达性分析,增强系统设计和操作. 这些技术为黑子模型提供了准确的概率保证,提高了复杂系统的可靠性.

关键词:
功能性模拟接口接口利普希茨常数是一个常数.可达性分析可达性分析数字双胞胎是一个数字双胞胎.动态灵敏度方程 动态灵敏度方程

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Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
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科学领域:

  • * 计算科学与工程 * 计算科学与工程
  • * 系统工程和控制理论

背景情况:

  • *数字双胞胎需要可靠的数字模型来实现实时的网络物理系统合.
  • * 现实的系统使用多个子系统模型,通常是黑盒模型,如功能模拟接口 (FMI) 标准中的黑盒模型.
  • *验证和分析这些黑子模型对于可靠的系统设计和运行至关重要.

研究的目的:

  • * 开发和评估基于模拟的技术,用于黑盒模型的可访问性分析.
  • *提供提供对计算可达到状态的准确性提供概率保证的方法.
  • * 根据可用的模型信息和所需的权衡来选择分析技术.

主要方法:

  • *为黑盒模型提出了基于模拟的两种可访问性分析技术.
  • * 技术1:基于系统动态的分析.
  • * 技术2:动态灵敏度分析以提高结果质量和可扩展性.

主要成果:

  • *开发的算法准确地计算了线性系统 (稳定和不稳定) 的可达到集合.
  • * 动态灵敏度方法提供了系统尺寸的可扩展性.
  • *以采样为基础的方法提供了灵活的准确性运行时间权衡.
  • *对于非线性系统,包括较大,复杂的系统,证明了有希望的结果.

结论:

  • * 拟议的基于模拟的可访问性分析技术提高了数字双胞胎模型的可靠性.
  • *这些方法为分析复杂系统中的黑子模型提供了有价值的工具.
  • *这些技术为改善系统设计和操作智能提供了实际解决方案.