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

Damped Oscillations01:07

Damped Oscillations

5.6K
In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
5.6K
Nonconscious Mimicry01:13

Nonconscious Mimicry

4.5K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.5K
Oscillations about an Equilibrium Position01:04

Oscillations about an Equilibrium Position

5.3K
Stability is an important concept in oscillation. If an equilibrium point is stable, a slight disturbance of an object that is initially at the stable equilibrium point will cause the object to oscillate around that point. For an unstable equilibrium point, if the object is disturbed slightly, it will not return to the equilibrium point. There are three conditions for equilibrium points—stable, unstable, and half-stable. A half-stable equilibrium point is also unstable, but is named so...
5.3K
Operant Conditioning Intervention01:24

Operant Conditioning Intervention

43
Operant conditioning serves as a foundational principle in therapeutic interventions aimed at modifying maladaptive behaviors. Central to this approach is the notion that behaviors, both adaptive and maladaptive, are learned through reinforcement. By analyzing the environmental factors that reinforce problematic behaviors, clinicians can design interventions to weaken these reinforcements and replace maladaptive behaviors with healthier alternatives.
In operant conditioning, behaviors that are...
43
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

138
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
138
Second Order systems II01:18

Second Order systems II

87
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
87

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

Resilience in collective behaviors of "next generation reservoir computer" oscillators via transmitting signal distortion.

Chaos (Woodbury, N.Y.)·2026
Same author

Nonlinear dynamics of reservoir computing: Theory, realization, and application.

Chaos (Woodbury, N.Y.)·2026
Same author

Chaos, computation and the century of complexity.

Chaos (Woodbury, N.Y.)·2026
Same author

Replicator dynamics and behavior-augmented multiscale epidemic modeling.

Chaos (Woodbury, N.Y.)·2025
Same author

Reservoir computing meeting Kolmogorov-Arnold networks: Prediction of high-dimensional chaotic systems.

Chaos (Woodbury, N.Y.)·2025
Same author

Machine learning informed by micro- and mesoscopic statistical physics methods for community detection.

Chaos (Woodbury, N.Y.)·2025

相关实验视频

Updated: Jun 2, 2025

Automated Interactive Video Playback for Studies of Animal Communication
07:21

Automated Interactive Video Playback for Studies of Animal Communication

Published on: February 9, 2011

13.3K

在合振荡器中服木乃伊,使用基于软演员-批判的强化学习.

Jianpeng Ding1,2, Youming Lei1,2, Michael Small3

  • 1School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710072, China.

Chaos (Woodbury, N.Y.)
|January 15, 2025
PubMed
概括

我们开发了一种无模型的深度强化学习方法,用于控制合振荡器中的奇默状态. 这种方法精确地定位了连贯和不连贯的领域,为复杂的动态系统提供了多功能控制.

更多相关视频

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
09:43

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

Published on: April 15, 2014

10.5K
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

相关实验视频

Last Updated: Jun 2, 2025

Automated Interactive Video Playback for Studies of Animal Communication
07:21

Automated Interactive Video Playback for Studies of Animal Communication

Published on: February 9, 2011

13.3K
A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
09:43

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

Published on: April 15, 2014

10.5K
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

科学领域:

  • 复杂的系统复杂的系统.
  • 非线性动力学是一种非线性动力学.
  • 统计物理 统计物理

背景情况:

  • 奇美拉状态,在合振荡器系统中共存的连贯和不连贯域的独特模式,在非线性动力学中提出了一个迷人的挑战.
  • 现有的控制方法通常需要详细的系统知识,这限制了它们的适用性.
  • 了解和控制嵌合体状态对于从神经科学到电网的应用至关重要.

研究的目的:

  • 提出一种普遍的,无模型的方法来控制合振荡器中的奇默状态.
  • 精确操纵嵌合体状态内的连贯和不连贯域的空间位置.
  • 证明拟议的控制策略的稳定性和多功能性.

主要方法:

  • 利用深度强化学习,特别是软演员-批判算法,来学习控制政策.
  • 基于局部顺序参数设计奖励函数,以指导对奇默状态的控制.
  • 在局部合的Kuramoto振荡器和非局部合的FitzHugh-Nagumo模型上测试该方法.

主要成果:

  • 提出的方法成功地控制了虚构状态,将域限制在所需位置,独立于初始条件和合方案.
  • 通过调整控制参数,演示了产生各种嵌合体模式的能力,包括单头,多头和交替嵌合体.
  • 展示了该方法在不同网络大小的通用性,以及其能够稳定木乃伊状态,防止漂移和崩.

结论:

  • 深度强化学习提供了一个强大而通用的框架,用于控制复杂的动态状态,如模拟生物.
  • 该方法的无模型性质提高了它对各种振荡系统的实际适用性.
  • 这种方法可以精确地控制嵌合体状态的空间,为研究和潜在应用开辟了新的途径.