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Synchronization of Switched Neural Networks via Attacked Mode-Dependent Event-Triggered Control and Its Application in Image Encryption

Authors :
Wang, Hao
Yang, Xinsong
Xiang, Zhengrong
Tang, Rongqiang
Ning, Qian
Source :
IEEE Transactions on Cybernetics; September 2023, Vol. 53 Issue: 9 p5994-6003, 10p
Publication Year :
2023

Abstract

It is challenging to synchronize switched time-delay systems when some modes are uncontrolled and the dwell time (DT) of controlled mode is very small. Therefore, in this article, global exponential synchronization almost surely (GES a.s.) in a cluster of switched neural networks (NNs) with hybrid delays (time-varying delay and infinite-time distributed delay) is investigated, where transition probability (TP)-based random mode-dependent average DT (MDADT) switching is considered. A novel mode-dependent pinning event-triggered controller with nonidentical deception attacks is proposed to save the communication resource and derive less conservative results. The two necessary and restrictive conditions in existing papers that the value of the Lyapunov–Krasovskii functional (LKF) before switching instants should be smaller than that after corresponding instant and the DT of each switching mode is restricted by the sampling intervals of the event trigger are moved. Sufficient conditions in terms of linear matrix inequalities (LMIs) are given to guarantee the GES a.s., even though both synchronizing and nonsynchronizing modes coexist and maybe the minimum DT of synchronizing modes is very small. Numerical examples, including image encryption, are provided to demonstrate the merits of the new technique.

Details

Language :
English
ISSN :
21682267
Volume :
53
Issue :
9
Database :
Supplemental Index
Journal :
IEEE Transactions on Cybernetics
Publication Type :
Periodical
Accession number :
ejs63808501
Full Text :
https://doi.org/10.1109/TCYB.2022.3227021