Novel Results on Global Robust Stability Analysis for Dynamical Delayed Neural Networks Under Parameter Uncertainties

Novel Results on Global Robust Stability Analysis for Dynamical Delayed Neural Networks Under Parameter Uncertainties

In this paper, we focus on the global stability analysis with respect to dynamical delayed neural networks (NNs) that contain parameter uncertainties. Many investigations on the sufficient conditions utilizing different upper bounds for the norm of interconnection matrices pertaining to the global a...

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Bibliographic Details
Main Authors: Nallappan Gunasekaran, N. Mohamed Thoiyab, P. Muruganantham, Grienggrai Rajchakit, Bundit Unyong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dynamical delayed neural networks
slope bounded activation function
interval matrices
parameter uncertainties
robust stability analysis
Online Access:https://ieeexplore.ieee.org/document/9167210/

Internet

https://ieeexplore.ieee.org/document/9167210/

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