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相关概念视频

Control Systems01:10

Control Systems

1.8K
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...
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Understanding Deception01:14

Understanding Deception

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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...
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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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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...
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Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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Controller Configurations01:22

Controller Configurations

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Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
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相关实验视频

Updated: Jan 7, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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用作欺骗攻击的网络控制系统的安全控制:一个随机模型预测控制方法.

Zhaoke Ning1, Xinglian Zhou2, Juncong Yang3

  • 1Key Laboratory of Advanced Spatial Mechanism and Intelligent Spacecraft, Ministry of Education, School of Aeronautics and Astronautics, Sichuan University, Chengdu 610207, China.

ISA transactions
|December 30, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种强大的安全控制方法,用于面临随机欺骗攻击的网络控制系统. 该方法使用分布式强大的优化和机会约束来提高系统安全性和性能.

关键词:
偶然的限制 偶然的限制欺骗攻击是一种欺骗攻击.在分布上强大的优化优化.安全控制安全控制安全控制随机模型预测控制的预测控制

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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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相关实验视频

Last Updated: Jan 7, 2026

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11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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Interactive and Visualized Online Experimentation System for Engineering Education and Research

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科学领域:

  • 控制工程 控制工程 控制工程
  • 网络安全 网络安全
  • 优化理论 优化理论

背景情况:

  • 网络控制系统容易受到复杂的欺骗攻击.
  • 现有的方法经常与未知边界的随机攻击信号作斗争.

研究的目的:

  • 在随机欺骗攻击下为线性网络控制系统 (LNCS) 设计创新的安全控制方法.
  • 通过使用机会约束来减轻安全控制设计中的保守主义.

主要方法:

  • 引入了一个模两可的设置,以使用平均协方差约束来描述潜在的欺骗信号.
  • 在系统状态和控制变量上制定了机会约束.
  • 应用了分布稳定的优化,用于确定性的凸重制.
  • 利用随机模型预测控制 (SMPC) 来实现递归可行性和趋同.

主要成果:

  • 成功地解决了未知边界的随机欺骗攻击.
  • 在安全控制设计中减轻了保守主义.
  • 证明了受控系统的递归可行性和趋同.
  • 通过对直流-直流增压转换器的模拟来验证方法的优势.

结论:

  • 建议的安全控制方法有效地提高了LNCS对随机欺骗攻击的弹性.
  • 整合模两可的集合,机会限制和SMPC为稳健的控制系统设计提供了一个有希望的方向.