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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

141
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...
141
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

345
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...
345
Stereotype Content Model02:16

Stereotype Content Model

15.3K
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

1.5K
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...
1.5K
Controller Configurations01:22

Controller Configurations

330
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...
330

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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

Published on: May 8, 2021

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確率論的モデル予測制御アプローチによる欺瞞攻撃に対するネットワーク制御システムのセキュリティ制御

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
まとめ
この要約は機械生成です。

本研究は、確率論的欺瞞攻撃に直面するネットワーク制御システムのための堅牢なセキュリティ制御手法を導入します。このアプローチは、分布的に堅牢な最適化と確率制約を使用して、システムのセキュリティとパフォーマンスを向上させます。

キーワード:
確率制約欺瞞攻撃分布的に堅牢な最適化セキュリティ制御確率論的モデル予測制御

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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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関連する実験動画

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

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科学分野:

  • 制御工学
  • サイバーセキュリティ
  • 最適化理論

背景:

  • ネットワーク制御システムは、洗練された欺瞞攻撃に対して脆弱です。
  • 既存の方法では、未知界の確率論的攻撃信号に対処することが困難な場合があります。

研究 の 目的:

  • 確率論的欺瞞攻撃下にある線形ネットワーク制御システム（LNCS）のための革新的なセキュリティ制御方法論を設計すること。
  • 確率制約を採用することにより、セキュリティ制御設計における保守性を緩和すること。

主な方法:

  • 平均共分散制約を用いて潜在的な欺瞞信号を特徴付けるための曖昧集合を導入しました。
  • システム状態と制御変数に対する確率制約を定式化しました。
  • 決定論的な凸再定式化のために分布的に堅牢な最適化を適用しました。
  • 再帰的な実現可能性と収束のために確率論的モデル予測制御（SMPC）を利用しました。

主要な成果:

  • 未知界の確率論的欺瞞攻撃に正常に対処しました。
  • セキュリティ制御設計における保守性を緩和しました。
  • 制御システムの再帰的実現可能性と収束を実証しました。
  • DC-DCブーストコンバータでのシミュレーションを通じて、アプローチの優位性を検証しました。

結論:

  • 提案されたセキュリティ制御方法論は、確率論的欺瞞攻撃に対するLNCSの回復力を効果的に強化します。
  • 曖昧集合、確率制約、およびSMPCの統合は、堅牢な制御システム設計のための有望な方向性を提供します。