Secure observer-based event-triggered sliding mode control for complex networks under deception attacks

Citation

Tajudeen, M. Mubeen and Banu, K. Asmiya and Manoj, K. and Rajchakit, Grienggrai and Muhammad, Shah and Huang, Tingwen (2026) Secure observer-based event-triggered sliding mode control for complex networks under deception attacks. Journal of the Franklin Institute, 363 (6). p. 108517. ISSN 0016-0032

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Abstract

This article explores the sliding mode control (SMC) of nonlinear complex dynamical networks affected by random measurement uncertainties and deception attacks, employing an observerbased event-triggered mechanism. The fundamental control signal is susceptible to deception attacks, where adversaries inject false data probabilistically, disrupting system functionality. To counteract these attacks, a secure SMC strategy is proposed. A novel sliding surface is then formulated, leading to the derivation of sliding mode dynamics. Additionally, the observer-based event-triggered mechanism is integrated to filter sampled signals, thereby optimizing network bandwidth usage and minimizing resource transmission rates. The deception attacks, measurement uncertainties, and time-varying coupling delays are modeled as a three-variable process following the Bernoulli distribution. By leveraging the Lyapunov function approach, sufficient conditions are established to ensure both the reachability of the sliding region and the mean square asymptotic stability of the system while maintaining extended dissipative performance. The sliding mode controller gain and event-triggered weighting matrix are designed using the linear matrix inequality (LMI) framework in conjunction with an observer. Finally, the effectiveness and benefits of the proposed approach are demonstrated through two numerical examples, including an application to Chuas circuit model.

Item Type: Article
Uncontrolled Keywords: Complex dynamical networks, sliding mode control
Subjects: Q Science > QC Physics > QC501-766 Electricity and magnetism > QC501-(721) Electricity
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 03 Apr 2026 04:03
Last Modified: 07 Apr 2026 09:03
URII: http://shdl.mmu.edu.my/id/eprint/15693

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