Observer-based improved event-triggered interval type-2 fuzzy networked control systems subject to deception attacks in dual communication channels

IF 3.4 2区数学 Q1 MATHEMATICS, APPLIED Communications in Nonlinear Science and Numerical Simulation Pub Date : 2025-01-01 DOI:10.1016/j.cnsns.2024.108579

Qiao-Li Li, Xiao-Heng Chang

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Abstract

The paper is mainly discusses the interval type-2 (IT2) fuzzy security control problem of improved event-triggered networked control systems (NCSs) under network attacks under dual communication channels. Firstly, under the premise of limited network bandwidth and unobservable system, an improved event-triggered (ET) mechanism is proposed to judge the data transmission conditions according to the average value of the current sampling time and the last triggering time. In addition, considering that the transmission of the networked system is carried out under multiple communication channels, this paper considers the role of event-triggered and deception attacks (DAs) at both ends of the system, and establishes a fuzzy system model under disturbance. The Lyapunov function method is used to analyze the stability of the system. The controller, observer and triggered matrix are designed by linear matrix inequalities (LMIs) approach, and the conditions satisfying the system stability and the expected performance index are obtained. Compared with common adaptive event triggered mechanism (AETM), the proposed improved adaptive ET scheme significantly saves network resources. Finally, The scheme’s effectiveness and superiority are validated through simulation examples.

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双通信信道欺骗攻击下基于观测器的改进事件触发间隔型2型模糊网络控制系统

本文主要讨论了双通信信道下改进的事件触发网络控制系统在网络攻击下的区间2型（IT2）模糊安全控制问题。首先，在网络带宽有限、系统不可观测的前提下，提出了一种改进的事件触发（ET）机制，根据当前采样时间和最后一次触发时间的平均值判断数据传输条件；此外，考虑到网络系统的传输是在多个通信通道下进行的，本文考虑了事件触发攻击和欺骗攻击（da）在系统两端的作用，建立了扰动下的模糊系统模型。采用李雅普诺夫函数法分析了系统的稳定性。采用线性矩阵不等式方法设计了控制器、观测器和触发矩阵，得到了满足系统稳定性和期望性能指标的条件。与常用的自适应事件触发机制（AETM）相比，改进的自适应ET方案显著节省了网络资源。最后，通过仿真算例验证了该方案的有效性和优越性。

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

Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

6.80

自引率

7.70%

发文量

378

审稿时长

78 days

期刊介绍： The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.