The characteristics method to study global exponential stability of delayed inertial neural networks

Wentao Wang, Jihui Wu and Wei Chen

Mathematics and Computers in Simulation (MATCOM), 2025, vol. 232, issue C, 91-101

Abstract: In this paper, we address the issue of global exponential stability for a class of delayed inertial neural networks (DINNs). Employing the characteristics method, we derive several sufficient conditions, which are both decay and delay-dependent as well as decay and delay-independent, to guarantee the global exponential stability of the given neural networks. Lastly, we present three numerical examples to highlight the advantages of our novel results.

Keywords: Inertial neural networks; Global exponential stability; Delay; Characteristics method; Decay and delay-dependent; Decay and delay-independent (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:232:y:2025:i:c:p:91-101

DOI: 10.1016/j.matcom.2024.12.021

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