Stability analysis of delayed neural networks via compound-parameter-based integral inequality

Stability analysis of delayed neural networks via compound-parameter-based integral inequality

This paper revisits the issue of stability analysis of neural networks subjected to time-varying delays. A novel approach, termed a compound-matrix-based integral inequality (CPBII), which accounts for delay derivatives using two adjustable parameters, is introduced. By appropriately adjusting these...

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Bibliographic Details
Main Authors: Xue, Wenlong, Jin, Zhenghong, Tian, Yufeng
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Mathematical Sciences
Neural networks
Time-varying delay
Online Access:https://hdl.handle.net/10356/179899

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