Back to Search Start Over

Practical Fixed-Time Bipartite Synchronization of Uncertain Coupled Neural Networks Subject to Deception Attacks via Dual-Channel Event-Triggered Control.

Authors :
Chen X
Jia T
Wang Z
Xie X
Qiu J
Source :
IEEE transactions on cybernetics [IEEE Trans Cybern] 2024 Jun; Vol. 54 (6), pp. 3615-3625. Date of Electronic Publication: 2024 May 30.
Publication Year :
2024

Abstract

This article investigates the practical fixed-time synchronization of uncertain coupled neural networks via dual-channel event-triggered control. Contrary to some previous studies, the bipartite synchronization of signed graphs representing cooperative and antagonistic interactions is studied. The communication channel is introduced into deception attacks, which are described by Bernoulli's stochastic variables. Based on the concept of two channels, event-triggered mechanisms are designed for sensor-to-controller and controller-to-actuator channels to reduce communication consumption and controller update consumption as much as possible. Lyapunov and comparison theories are used to derive synchronization criteria and explicit expression of settling time. An example of Chua's circuit system is presented to demonstrate the feasibility of the obtained theoretical results.

Details

Language :
English
ISSN :
2168-2275
Volume :
54
Issue :
6
Database :
MEDLINE
Journal :
IEEE transactions on cybernetics
Publication Type :
Academic Journal
Accession number :
38145520
Full Text :
https://doi.org/10.1109/TCYB.2023.3338165