New LMI-Based Conditions on Neural Networks of Neutral Type with Discrete Interval Delays and General Activation Functions

The stability analysis of global asymptotic stability of neural networks of neutral type with both discrete interval delays and general activation functions is discussed. New delay-dependent conditions are obtained by using more general Lyapunov-Krasovskii functionals. Meanwhile, these conditions ar...

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Main Authors: Guoquan Liu, Shumin Zhou, He Huang
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2012/306583
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author Guoquan Liu
Shumin Zhou
He Huang
author_facet Guoquan Liu
Shumin Zhou
He Huang
author_sort Guoquan Liu
collection DOAJ
description The stability analysis of global asymptotic stability of neural networks of neutral type with both discrete interval delays and general activation functions is discussed. New delay-dependent conditions are obtained by using more general Lyapunov-Krasovskii functionals. Meanwhile, these conditions are expressed in terms of a linear matrix inequality (LMI) and can be verified using the MATLAB LMI toolbox. Numerical examples are used to illustrate the effectiveness of the proposed approach.
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spelling doaj-art-debf97accf8e42599205c3e111323c4d2025-08-20T03:26:15ZengWileyAbstract and Applied Analysis1085-33751687-04092012-01-01201210.1155/2012/306583306583New LMI-Based Conditions on Neural Networks of Neutral Type with Discrete Interval Delays and General Activation FunctionsGuoquan Liu0Shumin Zhou1He Huang2School of Mechanical and Electronic Engineering, East China Institute of Technology, Nanchang 330013, ChinaSchool of Mechanical and Electronic Engineering, East China Institute of Technology, Nanchang 330013, ChinaScience and Technology on UAV Laboratory, Northwestern Polytechnical University, Xi'an 710072, ChinaThe stability analysis of global asymptotic stability of neural networks of neutral type with both discrete interval delays and general activation functions is discussed. New delay-dependent conditions are obtained by using more general Lyapunov-Krasovskii functionals. Meanwhile, these conditions are expressed in terms of a linear matrix inequality (LMI) and can be verified using the MATLAB LMI toolbox. Numerical examples are used to illustrate the effectiveness of the proposed approach.http://dx.doi.org/10.1155/2012/306583
spellingShingle Guoquan Liu
Shumin Zhou
He Huang
New LMI-Based Conditions on Neural Networks of Neutral Type with Discrete Interval Delays and General Activation Functions
Abstract and Applied Analysis
title New LMI-Based Conditions on Neural Networks of Neutral Type with Discrete Interval Delays and General Activation Functions
title_full New LMI-Based Conditions on Neural Networks of Neutral Type with Discrete Interval Delays and General Activation Functions
title_fullStr New LMI-Based Conditions on Neural Networks of Neutral Type with Discrete Interval Delays and General Activation Functions
title_full_unstemmed New LMI-Based Conditions on Neural Networks of Neutral Type with Discrete Interval Delays and General Activation Functions
title_short New LMI-Based Conditions on Neural Networks of Neutral Type with Discrete Interval Delays and General Activation Functions
title_sort new lmi based conditions on neural networks of neutral type with discrete interval delays and general activation functions
url http://dx.doi.org/10.1155/2012/306583
work_keys_str_mv AT guoquanliu newlmibasedconditionsonneuralnetworksofneutraltypewithdiscreteintervaldelaysandgeneralactivationfunctions
AT shuminzhou newlmibasedconditionsonneuralnetworksofneutraltypewithdiscreteintervaldelaysandgeneralactivationfunctions
AT hehuang newlmibasedconditionsonneuralnetworksofneutraltypewithdiscreteintervaldelaysandgeneralactivationfunctions