Robust exponential stability of uncertain fuzzy stochastic neutral neural networks with mixed time-varying delays

Yajun Li; Feiqi Deng; Fei Xie; Like Jiao

Robust exponential stability of uncertain fuzzy stochastic neutral neural networks with mixed time-varying delays

Yajun Li
, Feiqi Deng
, Fei Xie
, Like Jiao

Shunde Polytechnic
South China University of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

7 引用（Scopus）

摘要

The robust exponential stability problem for a class of uncertain fuzzy stochastic neutral neural networks systems with mixed delays is concerned about. Based on the Lyapunov functional and the stochastic stability theory, the sufficient conditions are developed in terms of linear matrix inequalities (LMIs). Examples and simulations are provided to illustrate the effectiveness and the less conservatism of the proposed method.

源语言	英语
页（从-至）	615-627
页数	13
期刊	International Journal of Innovative Computing, Information and Control
卷	14
期	2
出版状态	已出版 - 1 4月 2018
已对外发布	是

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引用此

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title = "Robust exponential stability of uncertain fuzzy stochastic neutral neural networks with mixed time-varying delays",

abstract = "The robust exponential stability problem for a class of uncertain fuzzy stochastic neutral neural networks systems with mixed delays is concerned about. Based on the Lyapunov functional and the stochastic stability theory, the sufficient conditions are developed in terms of linear matrix inequalities (LMIs). Examples and simulations are provided to illustrate the effectiveness and the less conservatism of the proposed method.",

keywords = "Linear matrix inequality (LMI), Mixed time-varying delays, Robust exponential stability, Stochastic neutral neural networks",

author = "Yajun Li and Feiqi Deng and Fei Xie and Like Jiao",

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T1 - Robust exponential stability of uncertain fuzzy stochastic neutral neural networks with mixed time-varying delays

AU - Li, Yajun

AU - Deng, Feiqi

AU - Xie, Fei

AU - Jiao, Like

PY - 2018/4/1

Y1 - 2018/4/1

N2 - The robust exponential stability problem for a class of uncertain fuzzy stochastic neutral neural networks systems with mixed delays is concerned about. Based on the Lyapunov functional and the stochastic stability theory, the sufficient conditions are developed in terms of linear matrix inequalities (LMIs). Examples and simulations are provided to illustrate the effectiveness and the less conservatism of the proposed method.

AB - The robust exponential stability problem for a class of uncertain fuzzy stochastic neutral neural networks systems with mixed delays is concerned about. Based on the Lyapunov functional and the stochastic stability theory, the sufficient conditions are developed in terms of linear matrix inequalities (LMIs). Examples and simulations are provided to illustrate the effectiveness and the less conservatism of the proposed method.

KW - Linear matrix inequality (LMI)

KW - Mixed time-varying delays

KW - Robust exponential stability

KW - Stochastic neutral neural networks

UR - https://www.scopus.com/pages/publications/85042939426

M3 - 文章

AN - SCOPUS:85042939426

SN - 1349-4198

VL - 14

SP - 615

EP - 627

JO - International Journal of Innovative Computing, Information and Control

JF - International Journal of Innovative Computing, Information and Control

IS - 2

ER -

Robust exponential stability of uncertain fuzzy stochastic neutral neural networks with mixed time-varying delays

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