相关实验视频

Updated: Jul 12, 2025

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

对网络物理系统的攻击估计和状态重建,通过减少顺序的观察者通过状态延迟进行攻击估计和状态重建

Xianglin Piao¹, Chong Lin¹, Man Zhang¹

¹Institute of Complexity Science, Shandong Key Laboratory of Industrial Control Technology, School of Automation, Qingdao University, Qingdao 266071, China.

ISA transactions

|October 27, 2023

概括

本研究提出了一种用于估计网络物理系统状态和同时传感器/执行器攻击的新方法,即使有时间延迟. 该方法准确地重建系统状态并识别攻击,减少先前方法的保守性.

科学领域:

控制系统工程控制系统工程
网络物理系统安全网络物理系统安全
国家估计理论.

背景情况:

网络物理系统 (CPS) 容易受到复杂的传感器和执行器攻击.
在存在时间延迟的情况下,同时估计系统状态和攻击是一个重大挑战.
现有的方法往往表现为保守,或者需要额外的设计来同时检测攻击.

研究的目的:

开发一种可靠的方法来同时估计系统状态,传感器攻击和执行器攻击在线性CPS中的状态延迟.
为增强系统设计一个减少顺序的观察者,以实现准确的状态和攻击重建.
通过充分利用时间延迟信息来降低现有方法的保守性.

主要方法:

对于一个包含状态延迟的增强系统,减少级观察员的设计.
使用一个Lyapunov-Krasovskii函数与一个双整数项.
交叉项的分解,以获得依赖延迟的结果.

主要成果:

准确同时估计系统状态,执行器攻击和传感器攻击,无需额外设计.
与以前的方法相比,通过充分利用时间延迟信息来证明性能提高.
估计结果的保守性显著减少.

结论:

提出的基于观察者的方法有效地解决了延迟CPS的攻击估计和状态重建问题.
延迟依赖的方法在同时估计状态和攻击时提供了更高的准确性和更低的保守性.
模拟结果验证了开发技术的正确性和有效性.

关键词:

攻击和状态估计的估计.网络物理系统网络物理系统取决于延迟的时间.减少顺序的观察员观察员.时间延迟时间延迟

更多相关视频

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

相关概念视频

Linear Approximation in Time Domain

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...

State Space Representation

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...

Transfer Function to State Space

Transfer Function to State Space

State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...

Second Order systems II

Second Order systems II

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.

Linear time-invariant Systems

Linear time-invariant Systems

A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...

Time-Domain Interpretation of PD Control

Time-Domain Interpretation of PD Control

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...