Exponential periodic attractor of impulsive Hopfield-type neural network system with piecewise constant argument

In this paper we study a periodic impulsive Hopfield-type neural network system with piecewise constant argument of generalized type. Under general conditions, existence and uniqueness of solutions of such systems are established using ergodicity, Green functions and Gronwall integral inequality. So...

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Main Authors: Manuel Pinto, Ricardo Torres, Daniel Sepúlveda
Format: Article
Language:English
Published: University of Szeged 2018-05-01
Series:Electronic Journal of Qualitative Theory of Differential Equations
Subjects:
Online Access:http://www.math.u-szeged.hu/ejqtde/periodica.html?periodica=1&paramtipus_ertek=publication&param_ertek=6578
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spelling doaj-493b06c0ed364552be2c76d8191f476a2021-07-14T07:21:31ZengUniversity of SzegedElectronic Journal of Qualitative Theory of Differential Equations1417-38751417-38752018-05-0120183412810.14232/ejqtde.2018.1.346578Exponential periodic attractor of impulsive Hopfield-type neural network system with piecewise constant argumentManuel Pinto0Ricardo Torres1Daniel Sepúlveda2Universidad de Chile, Santiago, ChileFacultad de Ciencias, Instituto de Ciencias Físicas y Matemáticas, Universidad Austral de Chile, Valdivia, ChileDepartamento de Matemática, Universidad Tecnológica Metropolitana, Santiago, ChileIn this paper we study a periodic impulsive Hopfield-type neural network system with piecewise constant argument of generalized type. Under general conditions, existence and uniqueness of solutions of such systems are established using ergodicity, Green functions and Gronwall integral inequality. Some sufficient conditions for the existence and stability of periodic solutions are shown and a new stability criterion based on linear approximation is proposed. Examples with constant and non-constant coefficients are simulated, illustrating the effectiveness of the results.http://www.math.u-szeged.hu/ejqtde/periodica.html?periodica=1&paramtipus_ertek=publication&param_ertek=6578piecewise constant argumentscauchy and green matriceshybrid equationsstability of solutionsgronwall's inequalityperiodic solutionsimpulsive differential equationscellular neural networks
collection DOAJ
language English
format Article
sources DOAJ
author Manuel Pinto
Ricardo Torres
Daniel Sepúlveda
spellingShingle Manuel Pinto
Ricardo Torres
Daniel Sepúlveda
Exponential periodic attractor of impulsive Hopfield-type neural network system with piecewise constant argument
Electronic Journal of Qualitative Theory of Differential Equations
piecewise constant arguments
cauchy and green matrices
hybrid equations
stability of solutions
gronwall's inequality
periodic solutions
impulsive differential equations
cellular neural networks
author_facet Manuel Pinto
Ricardo Torres
Daniel Sepúlveda
author_sort Manuel Pinto
title Exponential periodic attractor of impulsive Hopfield-type neural network system with piecewise constant argument
title_short Exponential periodic attractor of impulsive Hopfield-type neural network system with piecewise constant argument
title_full Exponential periodic attractor of impulsive Hopfield-type neural network system with piecewise constant argument
title_fullStr Exponential periodic attractor of impulsive Hopfield-type neural network system with piecewise constant argument
title_full_unstemmed Exponential periodic attractor of impulsive Hopfield-type neural network system with piecewise constant argument
title_sort exponential periodic attractor of impulsive hopfield-type neural network system with piecewise constant argument
publisher University of Szeged
series Electronic Journal of Qualitative Theory of Differential Equations
issn 1417-3875
1417-3875
publishDate 2018-05-01
description In this paper we study a periodic impulsive Hopfield-type neural network system with piecewise constant argument of generalized type. Under general conditions, existence and uniqueness of solutions of such systems are established using ergodicity, Green functions and Gronwall integral inequality. Some sufficient conditions for the existence and stability of periodic solutions are shown and a new stability criterion based on linear approximation is proposed. Examples with constant and non-constant coefficients are simulated, illustrating the effectiveness of the results.
topic piecewise constant arguments
cauchy and green matrices
hybrid equations
stability of solutions
gronwall's inequality
periodic solutions
impulsive differential equations
cellular neural networks
url http://www.math.u-szeged.hu/ejqtde/periodica.html?periodica=1&paramtipus_ertek=publication&param_ertek=6578
work_keys_str_mv AT manuelpinto exponentialperiodicattractorofimpulsivehopfieldtypeneuralnetworksystemwithpiecewiseconstantargument
AT ricardotorres exponentialperiodicattractorofimpulsivehopfieldtypeneuralnetworksystemwithpiecewiseconstantargument
AT danielsepulveda exponentialperiodicattractorofimpulsivehopfieldtypeneuralnetworksystemwithpiecewiseconstantargument
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