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

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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.

Original language	English
Pages (from-to)	615-627
Number of pages	13
Journal	International Journal of Innovative Computing, Information and Control
Volume	14
Issue number	2
State	Published - 1 Apr 2018
Externally published	Yes

Keywords

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

Cite this

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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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year = "2018",

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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

Abstract

Keywords

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