Encryption-Decryption-Based Bipartite Synchronization of Markov Jump Coupled Neural Networks: An Event-Triggered Mechanism

This paper addresses the problem of encryption-decryption-based bipartite synchronization control for a class of discrete-time coupled neural networks, in which the nodes exhibit both cooperative and antagonistic interactions. Initially, a Markov chain with concealed operating modes is employed to d...

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Bibliographic Details

Published in:	IEEE internet of things journal p. 1
Main Authors:	Shi, Liangyao, Wang, Jing, Yan, Huaicheng, Cao, Jinde, Shen, Hao
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	Artificial neural networks Biological neural networks bipartite synchronization Directed graphs encryption-decryption algorithm Event detection event-triggered mechanism Hidden Markov models Markov Jump coupled neural networks Neurons Switches Symmetric matrices Synchronization Topology
ISSN:	2327-4662, 2327-4662
Online Access:	Get full text
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