Further results on global stability of Clifford-valued neural networks subject to time-varying delays

This paper investigates the global exponential and asymptotic stability of Clifford-valued neural networks (CLVNNs) with multiple time-varying delays. Due to the non-commutative nature of Clifford algebra, analyzing the stability and other dynamical properties of CLVNNs becomes challenging. To addre...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 651; s. 130886
Hlavní autori:	Manoj, N., Sriraman, R., Gurusamy, R., Shang, Yilun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 28.10.2025
Predmet:	Clifford-valued neural network Global asymptotic stability Global exponential stability Image encryption Lyapunov–Krasovskii functionals Time-varying delays Global asymptotic stability Global exponential stability Image encryption Clifford-valued neural network Time-varying delays Lyapunov–Krasovskii functionals
ISSN:	0925-2312
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