Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

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

45
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...
45
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

88
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
88
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

72
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,...
72
Multimachine Stability01:25

Multimachine Stability

150
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:
150
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

85
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
85

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Chiral π-conjugated polymer films <i>via</i> kinetically controlled dip-coating for circularly polarized light information encoding.

Nanoscale·2026
Same author

Experimental Investigation on the Rock-Breaking Efficiency of High-Pressure Jet Drill Rod Perforation in Sandstone Roof.

ACS omega·2026
Same author

The Role of Thioredoxin in Mitigating Ammonia-Induced Oxidative Stress in Nile Tilapia (<i>Oreochromis niloticus</i>).

Animals : an open access journal from MDPI·2026
Same author

Carbide-Os Interactions Enhance Deuterium Evolution and Electrolytic Hydrogen Isotope Separation Efficiency.

ACS applied materials & interfaces·2026
Same author

An integrated approach to mining layout design for compound-hazards mines with coordinated rockburst and water inrush control.

Scientific reports·2026
Same author

Defect-enhanced photothermal catalysis over ZnO for efficient depolymerization of waste polyester into high-purity BHET.

Chemical communications (Cambridge, England)·2026
Same journal

Anchor-based disentanglement framework for incremental multi-view clustering.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Complex-valued amplitude-phase interference modeling for adversarially robust classification.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Decentralized ADMM for factorization-based Low-rank matrix estimation.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Memristive neuromorphic circuit design inspired by the neural mechanisms of conditioned fear.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Q-learning based asynchronous Boolean control networks stabilization with data loss.

Neural networks : the official journal of the International Neural Network Society·2026
查看所有相关文章

相关实验视频

Updated: Jun 15, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K

一种基于平滑近似的自适应神经动力学方法,用于非平滑的资源分配问题.

Haoze Li1, Linhua Luan1, Sitian Qin1

  • 1Department of Mathematics, Harbin Institute of Technology, Weihai, 264209, China.

Neural networks : the official journal of the International Neural Network Society
|August 21, 2024
PubMed
概括
此摘要是机器生成的。

一种新的自适应神经动力学方法解决了非平稳的资源分配问题 (NRAP). 这种分布式方法使用平滑近似和适应性惩罚来在复杂的受约束系统中获得高效,最佳的解决方案.

关键词:
适应性罚款是一种适应性罚款.多代理系统多代理系统神经动力学方法的神经动力学方法.平的近似值是如何进行的.

更多相关视频

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.3K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K

相关实验视频

Last Updated: Jun 15, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.3K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K

科学领域:

  • 优化理论 优化理论
  • 计算神经科学是一种神经科学.
  • 运营研究 运营研究

背景情况:

  • 不平稳的资源分配问题 (NRAP) 带来了重大的计算挑战.
  • 现有的神经动力学方法经常与复杂的约束和实际实施作斗争.

研究的目的:

  • 提出一种新的自适应神经动力学方法来解决非平滑的资源分配问题 (NRAP).
  • 通过避免设定值的亚梯度术语和简化约束处理来增强实际实施.

主要方法:

  • 结合了光滑近似与多代理系统,以创建一个分布式神经动力学模型.
  • 采用适应性惩罚技术,以有效地管理私人不平等的约束.
  • 引入时间变化的控制参数,以在平滑近似过程中保持收.

主要成果:

  • 建议的神经动力学方法是完全分布式的,利用多代理系统的并行计算能力.
  • 适应性惩罚消除了对参数估计的需求,降低了计算成本.
  • 理论分析证实了神经动力学方法对NRAP最佳解决方案的趋同.

结论:

  • 开发的自适应神经动力学方法为不平稳的资源分配问题提供了可行和高效的解决方案.
  • 该方法的分布性和简化约束处理有助于实际应用.