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Concise lagrange stability condition for multiple-delay competitive neural networks

delete2025-05-23
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PRE
AI
W
Weijing Yan
Y
Yu Xue
X
Xian Zhang *
DOI:10.1007/s40314-025-03262-3delete
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Abstract

Abstract

En 中文
This paper investigates Lagrange stability of competitive neural networks (CNNs) with multiple time-varying leakage delays. This study provides a novel approach based on the characteristic of system solutions, thus obtaining concise sufficient conditions to guarantee Lagrange stability of CNNs. The approach not only handles multiple time-varying leakage delays well, but also produces simpler Lagrange stability conditions that only require a few simple inequalities to be solved. Finally, numerical examples are provided to demonstrate the validity of the acquired results.
Keywords:
Competitive neural networks (CNNs)
Lagrange stability
Multiple time-varying leakage delays
A direct method based on system solutions.

Journal

Applied and Computational Mathematics cover
Applied and Computational Mathematics
IF:
4.3
Papers:
354
Citations:
593

Organization

No organization information available