Global robust stability of fuzzy cellular neural networks with parameter uncertainties-Reference-Cited by-同舟云学术

Global robust stability of fuzzy cellular neural networks with parameter uncertainties

Published:2024 Issue:4 Volume:9 Page:8063-8078
ISSN:2473-6988
Container-title:AIMS Mathematics
language:
Short-container-title:MATH

Author:

Zhang Tiecheng¹²,He Wei³

Affiliation:

1. School of Mathematics and Statistics, Hubei Normal University, Huangshi, 435002, China

2. Huangshi Key Laboratory of Metaverse and Virtual Simulation, Hubei Normal University, Huangshi, 435002, China

3. School of Mathematics and Statistics, Hubei University of Science and Technology, Xianning, 437000, China

Abstract

<abstract><p>The global robust stability of uncertain delayed fuzzy cellular neural networks (UDFCNNs) was analyzed in this paper. The major results of this paper provided some new criteria for the existence and uniqueness of the equilibrium point of UDFCNN. Furthermore, suitable Lyapunov-Krasovskii functionals was designed for obtaining the adequate conditions for the global asymptotic robust stability and global exponential robust stability of UDFCNN. Finally, several numerical examples was provided to verify the validity of the results.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

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