Resilient Synchronization of Neural Networks Under DoS Attacks and Communication Delays via Event-Triggered Impulsive Control

This article focuses on solving the synchronization problem of neural networks (NNs) in the presence of denial-of-service (DoS) attacks and communication delays. Specifically, an attack detection algorithm constructed based upon the acknowledgment (ACK) signal is provided to detect the sleeping and...

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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems Jg. 54; H. 1; S. 471 - 483
Hauptverfasser:	Bao, Yuangui, Zhao, Dan, Sun, Jiayue, Wen, Guanghui, Yang, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Communication Communication channels Control systems design Controllers Cyberattack Delays Denial of service attacks Denial-of-service (DoS) attacks Encryption event-triggered control Generators impulsive control Liapunov functions Neural networks Parameters State feedback Switches Synchronism Synchronization System effectiveness
ISSN:	2168-2216, 2168-2232
Online-Zugang:	Volltext
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