Novel Lagrange sense exponential stability criteria for time-delayed stochastic Cohen–Grossberg neural networks with Markovian jump parameters: A graph-theoretic approach

Novel Lagrange sense exponential stability criteria for time-delayed stochastic Cohen–Grossberg neural networks with Markovian jump parameters: A graph-theoretic approach

This paper concerns the issues of exponential stability in Lagrange sense for a class of stochastic Cohen–Grossberg neural networks (SCGNNs) with Markovian jump and mixed time delay effects. A systematic approach of constructing a global Lyapunov function for SCGNNs with mixed time delays and Marko...

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Bibliographic Details
Main Authors: Iswarya Manickam, Raja Ramachandran, Grienggrai Rajchakit, Jinde Cao, Chuangxia Huang
Format: Article
Language:English
Published: Vilnius University Press 2020-09-01
Series:Nonlinear Analysis
Subjects:
Cohen–Grossberg neural networks
Lagrange stability
graph theory
discrete and distributed time delays
Online Access:https://www.journals.vu.lt/nonlinear-analysis/article/view/16775

Internet

https://www.journals.vu.lt/nonlinear-analysis/article/view/16775

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