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

Masking and Demasking Agents01:19

Masking and Demasking Agents

2.5K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
2.5K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

122
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...
122
Neural Regulation01:37

Neural Regulation

39.5K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.5K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

1.8K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
1.8K
Neural Control of Respiration01:18

Neural Control of Respiration

2.6K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
2.6K
Hydraulic Jump: Problem Solving01:16

Hydraulic Jump: Problem Solving

80
To analyze a hydraulic jump in a rectangular channel with a flow speed of 6 meters per second, follow these steps:Calculate Effective Upstream Velocity:When the downstream gate closes, a hydraulic jump forms, traveling upstream at 2 meters per second. This wave speed combines with the initial channel flow velocity, creating an effective upstream velocity.Identify Flow Velocities Before and After the Hydraulic Jump:Upstream of the hydraulic jump, the effective flow velocity includes both the...
80

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

Antibody-drug conjugates and the need for third-modality regulatory science.

Med (New York, N.Y.)·2026
Same author

Development and validation of an AI-driven multimodal system for assessing aerobic gymnastics training using video analysis, motion capture, and physiological signals.

Scientific reports·2026
Same author

Exploring the Potential Value of Inflammatory Response-Associated Genes in Chronic Rhinosinusitis with Nasal Polyps: An Integrated Bioinformatics and Experimental Validation Analysis.

Journal of inflammation research·2026
Same author

A hypoxia-responsive migrasome-related lncRNA signature predicts prognosis and suggests the MSC-AS1/ITGA5 axis as a potential therapeutic target in head and neck squamous cell carcinoma.

Functional & integrative genomics·2026
Same author

An XR-based multisensory feedback system for real-time sprint technique optimization in track athletes.

Scientific reports·2026
Same author

Tough Adhesive and Anti-Freezing Hydrogel Polymer Electrolyte with Ultra-Durable Electrochemistry for Extreme Deformations and Subzero Temperatures.

ACS applied materials & interfaces·2026

相关实验视频

Updated: Jul 15, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

适应性神经网络控制马尔科夫跳跃系统对欺骗攻击.

Junhui Wu1, Gang Qin2, Jun Cheng1

  • 1School of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, China.

Neural networks : the official journal of the International Neural Network Society
|September 28, 2023
PubMed
概括

本研究介绍了一种适应性神经网络控制策略,用于对抗马尔科夫跳跃系统中的欺骗攻击. 该方法通过使用统一的马尔科夫链和利亚普诺夫理论来提高对虚假信号的系统稳定性.

关键词:
欺骗攻击是一种欺骗攻击.马尔科夫连锁是什么意思神经网络的神经网络的神经网络安全控制安全控制安全控制

更多相关视频

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

205
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K

相关实验视频

Last Updated: Jul 15, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

205
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K

科学领域:

  • 控制系统工程 控制系统工程
  • 网络安全 网络安全
  • 人工智能的人工智能

背景情况:

  • 欺骗攻击对马尔科夫跳跃系统的稳定性和可靠性构成重大威胁.
  • 现有的监控机制经常与双模式复杂性和无限虚假信号作斗争.
  • 确保系统弹性需要先进的控制策略,能够适应动态变化和对抗性输入.

研究的目的:

  • 提出一种适应性神经网络控制策略,以减轻马尔科夫跳跃系统中的欺骗攻击.
  • 开发一个统一的马尔科夫链模型,集成系统和执行器状态.
  • 设计一个异步控制规律,以在攻击下提供强大的系统性能.

主要方法:

  • 使用两个独立的马尔科夫链来建模系统和执行器状态,然后将它们合并为一个联合的马尔科夫链.
  • 采用自适应神经网络来近似欺骗攻击的无限虚假信号.
  • 实施一种模式监控方案,用于将联合马尔科夫链模式与控制器联系起来的异步控制法.

主要成果:

  • 用利亚普诺夫理论推导的平均平方边界稳定性的足够标准.
  • 拟议的自适应神经网络控制有效地接近无限虚假信号.
  • 异步控制法成功地将模式信息与更少的控制器模式联系起来.

结论:

  • 开发的自适应神经网络控制策略有效地减轻了马尔科夫跳跃系统中的欺骗攻击.
  • 统一的联合马尔科夫链和模式监控方案提高了系统的稳定性.
  • 数字实验验证了拟议方法在确保系统稳定的有效性.