Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays

O. M. Kwon; S. M. Lee; Ju H. Park

doi:10.1016/j.physleta.2010.01.007

Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays

O. M. Kwon, S. M. Lee, Ju H. Park

School of Electronics Engineering

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

68 Scopus citations

Abstract

This Letter investigates the problem of delay-dependent exponential stability analysis for uncertain stochastic neural networks with time-varying delay. Based on the Lyapunov stability theory, improved delay-dependent exponential stability criteria for the networks are established in terms of linear matrix inequalities (LMIs).

Original language	English
Pages (from-to)	1232-1241
Number of pages	10
Journal	Physics Letters, Section A: General, Atomic and Solid State Physics
Volume	374
Issue number	10
DOIs	https://doi.org/10.1016/j.physleta.2010.01.007
State	Published - 22 Feb 2010

Keywords

LMI
Lyapunov method
Stochastic neural networks
Time-varying delays

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10.1016/j.physleta.2010.01.007

Cite this

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title = "Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays",

abstract = "This Letter investigates the problem of delay-dependent exponential stability analysis for uncertain stochastic neural networks with time-varying delay. Based on the Lyapunov stability theory, improved delay-dependent exponential stability criteria for the networks are established in terms of linear matrix inequalities (LMIs).",

keywords = "LMI, Lyapunov method, Stochastic neural networks, Time-varying delays",

author = "Kwon, {O. M.} and Lee, {S. M.} and Park, {Ju H.}",

year = "2010",

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AU - Kwon, O. M.

AU - Lee, S. M.

AU - Park, Ju H.

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Y1 - 2010/2/22

N2 - This Letter investigates the problem of delay-dependent exponential stability analysis for uncertain stochastic neural networks with time-varying delay. Based on the Lyapunov stability theory, improved delay-dependent exponential stability criteria for the networks are established in terms of linear matrix inequalities (LMIs).

AB - This Letter investigates the problem of delay-dependent exponential stability analysis for uncertain stochastic neural networks with time-varying delay. Based on the Lyapunov stability theory, improved delay-dependent exponential stability criteria for the networks are established in terms of linear matrix inequalities (LMIs).

KW - LMI

KW - Lyapunov method

KW - Stochastic neural networks

KW - Time-varying delays

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JO - Physics Letters, Section A: General, Atomic and Solid State Physics

JF - Physics Letters, Section A: General, Atomic and Solid State Physics

IS - 10

ER -

Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays

Abstract

Keywords

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