Adaptive event-triggered secure control for IT2 fuzzy systems vulnerable to hybrid attacks and its application

IF 3.7 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-11-02 DOI:10.1016/j.jfranklin.2024.107365

M. Mubeen Tajudeen , M. Syed Ali , R. Perumal , Tarek F. Ibrahim , Faizah D. Alanazi

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引用次数: 0

Abstract

This work addresses the adaptive event-triggered control issue that interval type-2 (IT2) fuzzy systems are vulnerable to hybrid attacks. They were initially developed for fuzzy systems by thoroughly addressing the characteristics of hybrid attacks, which include deception attacks and replay attacks. Our main goal is to mitigate the effects of hybrid attacks and protect communication resources by developing an event-triggered controller for IT2 fuzzy systems with adjustable thresholds. The proposed hybrid attacks are described by a stochastic random variable that satisfies the Bernoulli distribution. Based on Lyapunov-Krasvoskii stability theory, the resulting closed-loop IT2 fuzzy system clearly satisfies sufficient criteria to ensure mean square stability. Also, the weight matrices of the trigger condition and controller gain matrices are obtained using LMI techniques. Lastly, a numerical example is provided to illustrate the effectiveness and applicability of the proposed control strategy.

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易受混合攻击的 IT2 模糊系统的自适应事件触发安全控制及其应用

这项研究解决了区间型-2（IT2）模糊系统易受混合攻击影响的自适应事件触发控制问题。它们最初是针对模糊系统开发的，彻底解决了混合攻击（包括欺骗攻击和重放攻击）的特点。我们的主要目标是通过开发一种具有可调阈值的 IT2 模糊系统事件触发控制器来减轻混合攻击的影响并保护通信资源。所提出的混合攻击由满足伯努利分布的随机变量来描述。根据 Lyapunov-Krasvoskii 稳定性理论，所产生的闭环 IT2 模糊系统明显满足确保均方稳定性的充分标准。此外，还利用 LMI 技术获得了触发条件的权矩阵和控制器增益矩阵。最后，还提供了一个数值示例来说明所提控制策略的有效性和适用性。

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

Journal of The Franklin Institute-engineering and Applied Mathematics 工程技术-工程：电子与电气

CiteScore

7.30

自引率

14.60%

发文量

586

审稿时长

6.9 months

期刊介绍： The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.