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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

356
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...
356
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

505
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
505
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

803
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
803
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
Multimachine Stability01:25

Multimachine Stability

587
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:
587
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.2K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
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相关实验视频

Updated: Feb 20, 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

12.3K

一个知识增强的进化多任务记忆算法,用于多模式多目标灵活的工作车间安排,考虑到速度.

Cong Luo, Xinyu Li, Liang Gao

    IEEE transactions on cybernetics
    |February 18, 2026
    PubMed
    概括

    本研究引入了一种新的算法,用于节能工作车间调度,解决可变机器速度和多式联网解决方案. 拟议的方法提高了生产效率,同时促进了制造业的绿色发展.

    科学领域:

    • 运营研究 运营研究
    • 制造业 工程 制造工程
    • 人工智能的人工智能

    背景情况:

    • 传统的灵活工厂调度通常假定机器的速度是恒定的,忽视了现实世界的能源效率需求.
    • 将生产效率与制造业的绿色发展相平衡,导致复杂的多模式优化问题.

    研究的目的:

    • 为考虑可变机器速度 (MMFJSP-S) 的多式多目标灵活工作车间调度问题开发一种新的算法.
    • 为应对多式联运解决方案和负面知识转移在节能调度的挑战.

    主要方法:

    • 介绍了一种知识增强的进化多任务记忆算法 (KEMMA).
    • 使用一个进化式多任务处理 (EMT) 框架,并以自动学习为灵感的辅助任务.
    • 实施知识增强和明确转移战略,以减轻负面转移.
    • 采用映射转换机制来处理决策空间的多模式性.

    主要成果:

    • 拟议的KEMMA在解决MMFJSP-S的过程中,与十个先进的算法相比,表现出了更高的性能.
    • 实验结果证实了知识增强和绘制转型战略的有效性.
    • 该研究强调了在调度中解决多式联运物业的关键重要性.

    结论:

    相关实验视频

    Last Updated: Feb 20, 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

    12.3K
    • 凯玛为节能和绿色制造调度提供了显著的进步.
    • 进化的多任务处理和知识转移的整合有效地解决了复杂的调度挑战.
    • 未来的研究应该继续探索优化问题的多模式特性.