Anti-Attack Protocol-Based Synchronization Control for Fuzzy Complex Dynamic Networks

Tao Wu, Choon Ki Ahn, Jinde Cao, Lianglin Xiong, Yang Liu, Hak-Keung Lam

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Abstract

This article investigates the synchronization control problem of fuzzy complex dynamic networks (FCDNs) with diversified network attacks. By making full use of the weighted historically released packets, a novel anti-attack memory-based adaptive event-triggered protocol (AETP) and the corresponding anti-attack fuzzy memory-based controller are introduced by taking the sporadic denial-of-service (DoS) and deceptive attacks into consideration concurrently. Compared with the conventional event-triggered protocols and AETPs, the developed anti-attack memory-based AETP can not only effectually reduce the frequency of event triggers, but also enhance the transient performance of FCDNs. In addition, in view of a new sampling-instant-dependent piecewise Lyapunov functional, less conservative criteria are induced to guarantee that the stochastically exponential synchronization of FCDNs is accomplished in the case where the deceptive and sporadic DoS attacks coexist. Finally, the merits and validity of the theoretical results are illustrated through numerical examples.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalIEEE Transactions on Fuzzy Systems
DOIs
Publication statusPublished - 25 Feb 2024

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