Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Nonfragile hybrid-triggered control for interval type-2 positive polynomial fuzzy network control system with deception attack

Lookup NU author(s): Professor Vladimir TerzijaORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

© 2026 Elsevier B.V.This paper investigates the polynomial fuzzy nonfragile hybrid-triggered (PFNFHT) control problem for nonlinear positive networked control systems, where the system is subject to deception attacks and time-varying delays. Deception attacks with sector nonlinearity compromise communication integrity and induce an asynchronous premise, thereby limiting the effectiveness of existing fuzzy security control strategies. First, an interval type-2 (IT2) polynomial fuzzy modeling framework is utilized to precisely represent parameter uncertainties and inherent attack characteristics. Second, a PFNFHT control strategy is designed to reduce the communication burden while ensuring security against deception attacks. Based on this strategy, a novel controller gain design method is proposed to solve non-convex terms and achieve positive stabilization. Furthermore, an IT2 deception-attack-based membership-function-dependent (IT2-DABMFD) method is proposed to relax the stability conditions. This method ensures system positivity and stability by embedding triggering and attack parameters into the mismatched IT2 membership functions. As a result, it expands the stability region and improves the system’s capability to withstand severe attacks. Finally, an application to electric distribution system (EDS) demonstrates the effectiveness of the PFNFHT strategy.

Publication metadata

Author(s): Wang X, Li X, Lam H-K, Terzija V, Guo X, Bao Z

Publication type: Article

Publication status: Published

Journal: Fuzzy Sets and Systems

Year: 2026

Volume: 544

Print publication date: 01/12/2026

Online publication date: 31/07/2026

Acceptance date: 27/07/2026

ISSN (print): 0165-0114

ISSN (electronic): 1872-6801

Publisher: Elsevier B.V.

URL: https://doi.org/10.1016/j.fss.2026.110061

DOI: 10.1016/j.fss.2026.110061

Altmetrics

Altmetrics provided by Altmetric

Share