Novel stability criterion for DNNs via improved asymmetric LKF

This paper briefly proposes an improved asymmetric Lyapunov-Krasovskii functional to analyze the stability issue of delayed neural networks (DNNs). By utilizing linear matrix inequalities (LMIs) incorporating integral inequality and reciprocally convex combination techniques, a new stability criteri...

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Bibliographic Details
Main Authors: Xianhao Zheng, Jun Wang, Kaibo Shi, Yiqian Tang, Jinde Cao
Format: Article
Language:English
Published: AIMS Press 2024-09-01
Series:Mathematical Modelling and Control
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mmc.2024025
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