Adaptive event-triggered secure control for networked control systems subject to deception and replay cyber-attacks

IF 3.9 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Adaptive Control and Signal Processing Pub Date : 2024-05-27 DOI:10.1002/acs.3834

M. Mubeen Tajudeen, M. Syed Ali, Grienggrai Rajchakit, Bandana Priya, Ganesh Kumar Thakur

引用次数: 0

Abstract

An adaptive event-triggered scheme is considered for networked control systems subject to deception and reply cyber attacks. In particular, the adaptive event-triggered mechanism is used in the closed-loop controller design to reduce signal transmission and communication burden. The attacker destroys the system's performance by employing deception attacks on sensor-to-controller communication channels and replay attacks on controller-to-actuator communication channels, respectively. By utilizing the Lyapunov stability approach, the closed-loop system guarantees mean square stability and ensure security. The adaptive event-triggered controller gains are presented by solving a set of matrix inequalities. Finally, a simulation result including the model of a batch reactor is presented to demonstrate the efficiency of the methods proposed.

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受欺骗和重放网络攻击影响的网络控制系统的自适应事件触发安全控制

摘要针对受到欺骗和回复网络攻击的网络控制系统，研究了一种自适应事件触发方案。特别是，在闭环控制器设计中使用了自适应事件触发机制，以减少信号传输和通信负担。攻击者分别通过对传感器到控制器的通信信道进行欺骗攻击和对控制器到执行器的通信信道进行回放攻击来破坏系统的性能。通过利用 Lyapunov 稳定性方法，闭环系统保证了均方稳定性并确保了安全性。通过求解一组矩阵不等式，提出了自适应事件触发控制器增益。最后，介绍了包括批量反应器模型在内的仿真结果，以证明所提方法的效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Adaptive Control and Signal Processing 工程技术-工程：电子与电气

CiteScore

5.30

自引率

16.10%

发文量

163

审稿时长

5 months

期刊介绍： The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.