Passivity analysis of uncertain stochastic neural network with leakage and distributed delays under impulsive perturbations

Title:

Passivity analysis of uncertain stochastic neural network with leakage and distributed delays under impulsive perturbations

Creator:

Raj, Senthil, Ramachandran, Raja, Rajendiran, Samidurai, Cao, Jinde , and Li, Xiaodi

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:68be04a4-a0bc-4f2e-b0e9-e0f4d30b2865
uuid:68be04a4-a0bc-4f2e-b0e9-e0f4d30b2865
doi:10.14736/kyb-2018-1-0003

Subject:

distributed delays, leakage delay, passivity impulses, and stochastic disturbances

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

In this paper, the problem of passivity analysis for a class of uncertain stochastic neural networks with mixed delays and impulsive control is investigated. The mixed delays include constant delay in the leakage term, discrete and distributed delays. The discrete delays are assumed to be time-varying and belong to a given interval, which means that the lower and upper bounds of interval time-varying delays are available. By using Lyapunov stability theory, stochastic analysis, linear matrix inequality techniques and introducing some free-weighting matrices, several novel sufficient conditions are derived to guarantee the passivity of the suggested system in the sense of mean square under two cases: with known or unknown parameters. It is believed that these results are significant and useful for the design and applications of impulsive stochastic neural networks. Finally, two numerical examples are provided to show the effectiveness of the theoretical results.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Kybernetika | 2018 Volume:54 | Number:1

Harvested from:

CDK

Metadata only:

false