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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2019-06-01
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Series: | Nonlinear Analysis |
Subjects: | |
Online Access: | http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/12962 |