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Open Access Research Article

Global exponential stability for generalized Cohen-Grossberg neural networks with variable delay

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* Corresponding author · click or hover a name for details

pp. 875–890Vol. 29Issue 4April 2026DOI: 10.47974/JIM-2338XML
Received:
09 Apr 2025
Published Online:
22 Jan 2026
Article type:
Research Article
Language:
EN
Article no.:
JIM-2338
Pages:
875–890

Abstract

New, easily verifiable criteria for the global exponential stability (GES) and the global practical exponential stability (PGES) of generalized Cohen–Grossberg neural networks with time-varying delays are presented. The analysis leverages a generalized Halanay inequality and the theory of Dini derivatives to establish results that are less restrictive than previous approaches. The derived conditions are validated through three illustrative examples, confirming the theoretical advancements and their practical utility.

Keywords

Subject Classifications

92B2034K2093D0934D20

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