Fixed-Time Event-Triggered Impulsive Secure Synchronization of Quaternion-Valued Fuzzy Neural Networks Subject to Stochastic Cyber-Attacks

This article addresses the fixed-time event-triggered impulsive secure synchronization issue of a category of Takagi-Sugeno quaternion-valued fuzzy neural networks (QVFNNs) under stochastic cyber-attacks for the first time. To do this, dynamic event-triggered control, fuzzy rules, and impulsive cont...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 33; H. 2; S. 559 - 569
Hauptverfasser:	Liu, Lirong, Bao, Haibo, Cao, Jinde
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.02.2025
Schlagworte:	Artificial neural networks Cyberattack Delays Event detection Event-triggered impulsive control (ETIC) fixed-time synchronization Fuzzy neural networks quaternion-valued fuzzy neural networks (QVFNNs) Quaternions Stability criteria stochastic cyber-attacks Stochastic processes Synchronization Vectors
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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