Dissipativity analysis of stochastic fuzzy neural networks with randomly occurring uncertainties using delay dividing approach

Dissipativity analysis of stochastic fuzzy neural networks with randomly occurring uncertainties using delay dividing approach

This paper focuses on the problem of delay-dependent robust dissipativity analysis for a class of stochastic fuzzy neural networks with time-varying delay. The randomly occurring uncertainties under consideration are assumed to follow certain mutually uncorrelated Bernoulli-distributed white noise s...

Full description

Bibliographic Details
Main Authors: Sundaram Senthilraj, Ramachandran Raja, Jinde Cao, Habib M. Fardoun
Format: Article
Language:English
Published: Vilnius University Press 2019-06-01
Series:Nonlinear Analysis
Subjects:
dissipativity
stochastic fuzzy neural network
time-varying delay
Online Access:http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/12962

Similar Items

Similar Items