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...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE transactions on fuzzy systems Ročník 33; číslo 2; s. 559 - 569
Hlavní autori:	Liu, Lirong, Bao, Haibo, Cao, Jinde
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!