Robust stability and passivity analysis for discrete-time neural networks with mixed time-varying delays via a new summation inequality

Robust stability and passivity analysis for discrete-time neural networks with mixed time-varying delays via a new summation inequality

The summation inequality is essential in creating delay-dependent criteria for discrete-time systems with time-varying delays and developing other delay-dependent standards. This paper uses our rebuilt summation inequality to investigate the robust stability analysis issue for discrete-time neural n...

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Bibliographic Details
Main Authors: Jenjira Thipcha, Presarin Tangsiridamrong, Thongchai Botmart, Boonyachat Meesuptong, M. Syed Ali, Pantiwa Srisilp, Kanit Mukdasai
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:AIMS Mathematics
Subjects:
stability analysis
passivity
discrete-time neural networks
interval time-varying delay
lypunov-krasovskii theory
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023249?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2023249?viewType=HTML

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