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相关概念视频

Understanding Deception01:14

Understanding Deception

147
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
147
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.4K
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...
3.4K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.2K
Feedback control systems01:26

Feedback control systems

684
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
684
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

383
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...
383
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

6.5K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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相关实验视频

Updated: Jan 12, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.8K

对非线性多代理系统的基于约束的模糊自适应安全形成控制,以防止欺骗攻击.

Huaguang Zhang, Lei Wan, Jiayue Sun

    IEEE transactions on cybernetics
    |November 4, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了针对未知欺骗攻击的非线性多代理系统 (MAS) 的自适应性安全形成控制. 模糊的自适应控制方案确保稳定的形成和无碰撞的模式,尽管恶意攻击.

    相关实验视频

    Last Updated: Jan 12, 2026

    The HoneyComb Paradigm for Research on Collective Human Behavior
    06:48

    The HoneyComb Paradigm for Research on Collective Human Behavior

    Published on: January 19, 2019

    9.8K

    科学领域:

    • 机器人技术 机器人技术 机器人技术
    • 控制系统工程 控制系统工程
    • 人工智能的人工智能

    背景情况:

    • 多代理系统 (MAS) 对于协调任务至关重要.
    • 形成控制的稳定性依赖于安全的通信.
    • 不知名的欺骗攻击威胁到系统完整性.

    研究的目的:

    • 为非线性MAS开发适应性安全形成控制.
    • 解决未知的欺骗攻击和不对称的约束.
    • 实现无碰撞的形成模式,保证稳定性.

    主要方法:

    • 国家观察员用于估计受外国直接投资袭击的国家.
    • 对于不对称约束的非线性状态依赖函数.
    • 模糊逻辑系统 (FLS) 和协调转换用于具有攻击补偿的自适应控制.

    主要成果:

    • 形成跟踪错误是统一的最终边界.
    • 国家对MAS的约束始终保持.
    • 实现了没有碰撞的所需形成模式.

    结论:

    • 拟议的模糊自适应形成控制有效地处理未知欺骗攻击.
    • 该方法确保了MAS的稳定和稳定的运行.
    • 模拟结果验证了控制方案的有效性.