网络控制系统故障与网络攻击的鉴别研究

A. A. Yaseen, M. Bayart
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引用次数: 2

摘要

广义预测控制器(GPC)是网络控制系统(NCS)中首选的控制器实现方法。本文提出了一种智能广义预测控制器(IGPC),作为标准广义预测控制器的改进。IGPC设计了内部的网络攻击和故障检测和区分机制;这种方法是通过特定的计算算法,将正常工厂模型和故障或扰动工厂条件下的真实控制变量与估计控制变量进行比较。测试结果表明,该方法可以有效地用于网络攻击的检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards distinguishing between faults and cyber-attacks in the networked control system
The Generalized Predictive Controller (GPC) is a preferred controller implementation method in the Networked Control System (NCS). This paper proposes an Intelligent Generalized Predictive Controller (IGPC) as an enhancement for the standard GPC. The IGPC is designed along with an internal detection and distinguishing mechanism for cyberattacks and faults; this one is based on the comparison between the true control variable and the estimated control variable for normal plant model and for faulty or perturbed plant conditions by a specific computation algorithm. The test result of the proposed method shows that it can be significantly used for detection of the cyber-attack.
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