Jove
Visualize
联系我们

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

290
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...
290
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

9
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
9
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

392
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
392
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

692
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
692
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
Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

274
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
274

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

Resampling Multi-Resolution Signals Using the Bag of Functions Framework: Addressing Variable Sampling Rates in Time Series Data.

Sensors (Basel, Switzerland)·2025
Same author

Time series compression using quaternion valued neural networks and quaternion backpropagation.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies.

IEEE transactions on cybernetics·2022
Same author

Gradient Monitored Reinforcement Learning.

IEEE transactions on neural networks and learning systems·2021
Same author

Deep Convolutional Clustering-Based Time Series Anomaly Detection.

Sensors (Basel, Switzerland)·2021
Same author

Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach.

IEEE transactions on cybernetics·2020
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

相关实验视频

Updated: Jan 17, 2026

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

12.2K

将基于模型的深度学习与基于模块状态的Stackelberg游戏集成为自优化分布式生产系统.

Steve Yuwono, Andreas Schwung, Dorothea Schwung

    IEEE transactions on cybernetics
    |September 25, 2025
    PubMed
    概括

    这项研究将深度学习与基于模块状态的Stackelberg游戏 (Mod-SbSG) 集成在一起,以在制造业中实现高效的自我优化. 这种新的方法通过学习动态和虚拟培训显著减少了昂贵的真实世界系统交互.

    科学领域:

    • 制造系统工程 制造系统工程
    • 人工智能的人工智能
    • 控制理论 控制理论

    背景情况:

    • 没有模型的模块化基于状态的Stackelberg游戏 (Mod-SbSG) 需要广泛的真实世界的交互来进行优化.
    • 在工业环境中,由于成本,时间和安全问题,这些互动往往是不切实际的.
    • 之前对数字双胞胎的依赖,用于训练Mod-SbSG玩家,但由于难以创建准确的系统表示而受到限制.

    研究的目的:

    • 引入一种新的框架,将深度学习与Mod-SbSG相结合,用于制造业的分布式自优化.
    • 提高采样效率,减少对现实世界系统交互的依赖.
    • 开发一种学习系统动态的方法,使用深度学习来优化政策.

    主要方法:

    • 基于深度模型的学习与基于模块状态的斯塔克尔伯格游戏 (Mod-SbSG) 的集成.
    • 开发深度学习模型,准确预测系统动态.
    • 在优化的虚拟环境中训练Mod-SbSG玩家,利用学习的动态.

    主要成果:

    • 拟议的框架成功地用深度学习取代了对准确数字表示的需求.
    • 单步和多步预测器对系统动态的证明有效性.
    • 通过网络重用和转移学习,在实验室测试场景中实现了实体系统交互的77.78%的减少.

    相关实验视频

    Last Updated: Jan 17, 2026

    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

    12.2K

    结论:

    • 集成深度学习的Mod-SbSG框架为制造业的分布式自优化提供了一个样本效率高且实用的方法.
    • 这种方法显著降低了与物理系统直接交互的需要,克服了传统方法的局限性.
    • 该框架显示了可适应的工业控制系统的前景,提高了效率并降低了运营风险.