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

Machines: Problem Solving II01:30

Machines: Problem Solving II

303
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
303
Design Consideration01:22

Design Consideration

181
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
181
Rational Dosage Regimen: Maintenance Dose and Loading Dose01:24

Rational Dosage Regimen: Maintenance Dose and Loading Dose

4.0K
A rational dosage regimen considers a drug's pharmacokinetics, including its absorption, distribution, metabolism, and elimination from the body. By understanding these factors, the appropriate dosage can be determined, and the dosing schedule can be designed to achieve and maintain the desired therapeutic effect while minimizing adverse effects.
In most cases, drugs are administered repetitively or infused continuously to maintain a steady-state concentration in the body. At a steady...
4.0K
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

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

RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention.

PloS one·2025
Same author

Multiple strategies improved spider wasp optimization for engineering optimization problem solving.

Scientific reports·2024
Same author

An improved RRT behavioral planning method for robots based on PTM algorithm.

Scientific reports·2024
Same author

Color changing object recognition and grabbing technology based on crystal butterfly algorithm and adaptive imitation.

iScience·2024
Same author

Special Characteristics and Synchronizations of Multi Hybrid-Order Chaotic Systems.

Entropy (Basel, Switzerland)·2020
Same author

Time-Delay Characteristics of Complex Lü System and Its Application in Speech Communication.

Entropy (Basel, Switzerland)·2020

相关实验视频

Updated: Jun 13, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.5K

对危险物质的多机器协调加载系统的在线控制参数优化设计.

Zuoxun Wang1, Chuanyu Cui1, Jinxue Sui1

  • 1School of Information and Electronic Engineering, Shandong Technology and Business University, 264005, China.

ISA transactions
|September 16, 2024
PubMed
概括

一个全新的全规模智能参数优化控制 (FSPOC) 系统提高了危险物质处理的稳定性. 这种创新方法使用生物鱼尺度算法来实现卓越的多机器协调和参数优化.

科学领域:

  • 控制系统工程 控制系统工程
  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能

背景情况:

  • 参数不稳定性是多机操作期间危险材料处理的一个关键问题.
  • 现有的控制方法在合作环境中难以应对高维非线性系统的复杂性.

研究的目的:

  • 开发一个强大的控制系统,以提高在多台机器危险物质处理中的参数稳定性.
  • 在复杂的合作系统中引入一种新的在线分布式参数优化方法.

主要方法:

  • 开发一个全面的智能参数优化控制 (FSPOC) 系统.
  • 利用一种新的鱼预测算法,其灵感来源于生物学原理,用于预测控制.
  • 介绍了干扰取消控制定理和参数优化控制器,以提高稳定性.
  • 适用于具有多个自由度的多机器合作系统.

主要成果:

  • 与基于遗传算法的PID (GAPID) 和基于混乱原子搜索算法的PID (CHASO) 相比,FSPOC系统在模拟中表现出更高的性能.
  • 提出的方法有效地解决了高维非线性空间中的参数不稳定性.
  • 在复杂的多机器系统中成功实现了在线分布式参数优化.
关键词:
干扰消除控制定理 干扰消除控制定理鱼尺度预测算法 鱼尺度预测算法危险材料 危险材料多机器合作系统多机器合作系统参数优化控制器控制器的参数优化

更多相关视频

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

12.9K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

相关实验视频

Last Updated: Jun 13, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.5K
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

12.9K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

结论:

  • FSPOC系统在实现稳定和优化控制多机器危险物质处理方面取得了重大进展.
  • 生物鱼尺度预测算法为合作机器人系统的预测控制提供了一个强大的工具.
  • 该研究验证了FSPOC方法在复杂,高维度控制挑战中的优越性.