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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

77
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
77
Control Systems01:10

Control Systems

987
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
987
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

94
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
94
Design Example: Underdamped Parallel RLC Circuit01:17

Design Example: Underdamped Parallel RLC Circuit

236
Consider designing an oscillator circuit, a crucial component in various electronic devices and systems. The objective is to create an oscillator circuit with specific characteristics: a damped natural frequency of 4 kHz and a damping factor of 4 radians per second. To accomplish this, a parallel RLC circuit is employed, known for its ability to sustain oscillations at a resonant frequency. In this case, the damping factor is pivotal in achieving the desired performance.
Starting with a fixed...
236
Second Order systems II01:18

Second Order systems II

75
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.
75
Forced Oscillations01:06

Forced Oscillations

6.5K
When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
6.5K

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

Magnitude-constrained optimal chaotic desynchronization of neural populations.

Frontiers in network physiology·2025
Same author

Exogenous-Endogenous Surfactant Interaction Yields Heterogeneous Spreading in Complex Branching Networks.

Physical review letters·2025
Same author

Molecular Imaging with Aquaporin-Based Reporter Genes: Quantitative Considerations from Monte Carlo Diffusion Simulations.

ACS synthetic biology·2023
Same author

Molecular imaging with aquaporin-based reporter genes: quantitative considerations from Monte Carlo diffusion simulations.

bioRxiv : the preprint server for biology·2023
Same author

A single parameter can predict surfactant impairment of superhydrophobic drag reduction.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

Depolarization block in olfactory sensory neurons expands the dimensionality of odor encoding.

Science advances·2022

相关实验视频

Updated: May 21, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

11.6K

对于随机神经振荡器的最佳控制

Faranak Rajabi1, Frederic Gibou2, Jeff Moehlis2

  • 1Department of Mechanical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA. faranakrajabi@ucsb.edu.

Biological cybernetics
|March 20, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种节能控制策略,以脱同步神经网络,灵感来自帕金森病的治疗方法. 这种新的方法减少了神经刺激的能量消耗,有可能改善植入装置的寿命.

关键词:
计算建模计算建模汉密尔顿雅各比贝尔曼方程神经元脱同步的发生.随机的最佳控制 随机的最佳控制

更多相关视频

Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.1K
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: May 21, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

11.6K
Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.1K
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:

  • 计算神经科学是一种神经科学.
  • 神经技术的神经技术
  • 控制理论 控制理论

背景情况:

  • 神经网络同步与神经系统疾病有关.
  • 现有的脱同步方法可能耗费大量能源.
  • 内在的神经噪声给控制策略带来了挑战.

研究的目的:

  • 开发一种基于事件的,节能的控制策略,用于对联神经网络的脱同步.
  • 将随机动态纳入控制模型,以考虑神经噪声.
  • 为了减少神经刺激中的能量消耗,同时保持有效性.

主要方法:

  • 最佳控制理论应用于神经元网络动态.
  • 随机汉密尔顿 - 雅各比 - 贝尔曼方程使用先进的计算解答器和水平设置方法来解决.
  • 基于事件的控制输入,旨在驱动神经元动态向无相状态.

主要成果:

  • 通过随机化神经元尖峰时间实现了显著的网络脱同步.
  • 与确定性控制方法相比,证明了相当大的能源节约.
  • 对神经元合和网络异质性的变化表现出强度.

结论:

  • 开发的基于事件的随机控制策略为神经网络脱同步提供了一种节能的方法.
  • 这种方法对改善深度大脑刺激协议和延长植入刺激器的电池寿命有潜在的影响.
  • 计算框架可以适应其他随机最佳控制问题.