Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument

A new model of inertial neural networks with a generalized piecewise constant argument as well as unpredictable inputs is proposed. The model is inspired by unpredictable perturbations, which allow to study the distribution of chaotic signals in neural networks. The existence and exponential stabili...

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Main Authors: Marat Akhmet, Madina Tleubergenova, Zakhira Nugayeva
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/25/4/620
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author Marat Akhmet
Madina Tleubergenova
Zakhira Nugayeva
author_facet Marat Akhmet
Madina Tleubergenova
Zakhira Nugayeva
author_sort Marat Akhmet
collection DOAJ
description A new model of inertial neural networks with a generalized piecewise constant argument as well as unpredictable inputs is proposed. The model is inspired by unpredictable perturbations, which allow to study the distribution of chaotic signals in neural networks. The existence and exponential stability of unique unpredictable and Poisson stable motions of the neural networks are proved. Due to the generalized piecewise constant argument, solutions are continuous functions with discontinuous derivatives, and, accordingly, Poisson stability and unpredictability are studied by considering the characteristics of continuity intervals. That is, the piecewise constant argument requires a specific component, the Poisson triple. The <i>B</i>-topology is used for the analysis of Poisson stability for the discontinuous functions. The results are demonstrated by examples and simulations.
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spelling doaj.art-db639aa77a88491388881efdb7d1497a2023-11-17T19:08:39ZengMDPI AGEntropy1099-43002023-04-0125462010.3390/e25040620Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant ArgumentMarat Akhmet0Madina Tleubergenova1Zakhira Nugayeva2Department of Mathematics, Middle East Technical University, Ankara 06800, TurkeyDepartment of Mathematics, Aktobe Regional University, Aktobe 030000, KazakhstanDepartment of Mathematics, Aktobe Regional University, Aktobe 030000, KazakhstanA new model of inertial neural networks with a generalized piecewise constant argument as well as unpredictable inputs is proposed. The model is inspired by unpredictable perturbations, which allow to study the distribution of chaotic signals in neural networks. The existence and exponential stability of unique unpredictable and Poisson stable motions of the neural networks are proved. Due to the generalized piecewise constant argument, solutions are continuous functions with discontinuous derivatives, and, accordingly, Poisson stability and unpredictability are studied by considering the characteristics of continuity intervals. That is, the piecewise constant argument requires a specific component, the Poisson triple. The <i>B</i>-topology is used for the analysis of Poisson stability for the discontinuous functions. The results are demonstrated by examples and simulations.https://www.mdpi.com/1099-4300/25/4/620inertial neural networksgeneralized piecewise constant argumentunpredictable oscillationsPoisson stable oscillationsunpredictable input–outputsPoisson triple
spellingShingle Marat Akhmet
Madina Tleubergenova
Zakhira Nugayeva
Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument
Entropy
inertial neural networks
generalized piecewise constant argument
unpredictable oscillations
Poisson stable oscillations
unpredictable input–outputs
Poisson triple
title Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument
title_full Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument
title_fullStr Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument
title_full_unstemmed Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument
title_short Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument
title_sort unpredictable and poisson stable oscillations of inertial neural networks with generalized piecewise constant argument
topic inertial neural networks
generalized piecewise constant argument
unpredictable oscillations
Poisson stable oscillations
unpredictable input–outputs
Poisson triple
url https://www.mdpi.com/1099-4300/25/4/620
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AT zakhiranugayeva unpredictableandpoissonstableoscillationsofinertialneuralnetworkswithgeneralizedpiecewiseconstantargument