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

Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

334
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,...
334
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

228
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
228
Optimization Problems01:26

Optimization Problems

8
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
8
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

213
A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
213
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

281
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
281

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

Mental health literacy predicts depression in older adults in China: an interpretable machine learning model.

The journals of gerontology. Series B, Psychological sciences and social sciences·2025
Same author

Time-Domain Attentional Biases in High Trait Anxiety: Insights From Event-Related Potentials in the RSVP Paradigm.

Psychophysiology·2025
Same author

Tumor-cell HLA-DR expression as a potential biomarker of immunotherapy response in hepatocellular carcinoma.

Frontiers in oncology·2025
Same author

Regulatory effects of Ophiopogon japonicus polysaccharide on intestinal immune function in mice.

International journal of biological macromolecules·2025
Same author

A scalable mental health intervention for depressive symptoms: evidence from a randomized controlled trial and large-scale real-world studies.

NPJ digital medicine·2025
Same author

A based <i>Cistanche deserticola</i> polysaccharide functional-nanoparticle delivery system for effective oral vaccine to facilitate both systemic and mucosal immunity through enhancing oral delivery.

Materials today. Bio·2025

相关实验视频

Updated: Jan 13, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.4K

对于时间变化的成本,规定的时间完全分布式优化:零梯度和方案.

Ningning Mao1, Shuai Liu1, Yuan Liu2

  • 1School of Control Science and Engineering, Shandong University, Jinan, 250061, China.

ISA transactions
|January 11, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种用于时间变化的目标的新型分布式优化算法,在用户定义的截止日期内实现趋同. 该方法使用自适应参数,消除了对真正分布式控制的全球网络信息的需求.

关键词:
适应性控制是适应性的控制.完全分布式的优化优化.规定的时间趋同.时间变化的成本.

更多相关视频

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

相关实验视频

Last Updated: Jan 13, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.4K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

科学领域:

  • 控制系统工程 控制系统工程
  • 优化理论 优化理论
  • 分布式计算 分布式计算

背景情况:

  • 现有的分布式优化算法通常需要全球网络信息,或者受到初始条件的限制.
  • 时间变化的目标对分布式系统中的趋同保证提出了挑战.

研究的目的:

  • 为时间变化的目标开发一种新的分布式优化算法.
  • 在不依赖全球网络信息的情况下实现规定的时间趋同.
  • 克服现有方法关于初始条件和网络拓学的局限性.

主要方法:

  • 基于零梯度和 (ZGS) 原则的分布式优化算法的开发.
  • 实现一个具有适应参数和时间变化的缩放功能的滑动模式控制框架.
  • 理论分析结合了优化理论和利亚普诺夫稳定性分析.

主要成果:

  • 该算法实现了对时间变化的优化问题的规定的时间收.
  • 它展示了真正的分布式控制,独立于全球网络信息和拉普拉斯的固有值.
  • 该方法没有初始条件约束和局部最小化要求.

结论:

  • 拟议的算法为具有时间变化的目标的分布式优化提供了强大而高效的解决方案.
  • 它通过在没有全球信息的情况下实现分布式控制来显著推进该领域.
  • 数字模拟证实了与现有方法相比,它的性能优越.