Secure event-triggered control of nonlinear networked systems via interval type-2 fuzzy observer design.

K Asmiya Banu, T Aparna, M Mubeen Tajudeen, A Muniyappan, Einas M Widaa, Ali Akgul

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

K Asmiya BanuDepartment of Mathematics, School of Engineering and Technology, Dhanalakshmi Srinivasan University, Trichy, Tamil Nadu, 632 115, India.

T AparnaDepartment of Mathematics, School of Engineering and Technology, Dhanalakshmi Srinivasan University, Trichy, Tamil Nadu, 632 115, India.

M Mubeen TajudeenFaculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam. mubeentajudeen@tdtu.edu.vn.

A MuniyappanCentre for Nonlinear Systems, Chennai Institute of Technology, Chennai, Tamil Nadu, 600 069, India.

Einas M WidaaDepartment of Physics, Turabah University College, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.

Ali AkgulDepartment of Mathematics, Faculty of Arts and Science, Siirt University, Siirt, 56100, Turkey.

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6 · The paper itself

Abstract

This paper investigates the problem of observer-based event-triggered control for nonlinear networked control systems subject to deception attacks. An interval type-2 fuzzy logic was developed to improve the type-1 fuzzy form, which has a lower and upper membership function that represents the uncertain parameters and can provide control accuracy. An event-triggering scheme was developed based on the observer in the presence of deception attacks, which reduces unnecessary communications and saves limited bandwidth. An event-triggering scheme is employed to adapt the limited communication links. The Lyapunov-Krasovskii functional is used to obtain sufficient conditions to ensure asymptotic stability for interval type-2 fuzzy systems. The linear matrix inequality (LMI) technique is used to obtain the observer and controller gain matrices. Finally, numerical examples are offered to demonstrate the efficacy and applicability of the theoretical findings.

Indexed as

Deception attacksEvent-triggered schemeInterval type-2 fuzzy logicLyapunov-Krasvoskii functional

Identifiers

PMID42203826

DOI10.1038/s41598-026-53335-4

PMCPMC13443864

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