Shunting Inhibitory Cellular Neural Networks with Compartmental Unpredictable Coefficients and Inputs

Shunting inhibitory cellular neural networks with compartmental periodic unpredictable coefficients and inputs is the focus of this research. A new algorithm is suggested, to enlarge the set of known unpredictable functions by applying diagonalization in arguments of functions of several variables....

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Main Authors: Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/6/1367
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author Marat Akhmet
Madina Tleubergenova
Akylbek Zhamanshin
author_facet Marat Akhmet
Madina Tleubergenova
Akylbek Zhamanshin
author_sort Marat Akhmet
collection DOAJ
description Shunting inhibitory cellular neural networks with compartmental periodic unpredictable coefficients and inputs is the focus of this research. A new algorithm is suggested, to enlarge the set of known unpredictable functions by applying diagonalization in arguments of functions of several variables. Sufficient conditions for the existence and uniqueness of exponentially stable unpredictable and Poisson stable outputs are obtained. To attain theoretical results, the included intervals method and the contraction mapping principle are used. Appropriate examples with numerical simulations that support the theoretical results are provided. It is shown how dynamics of the neural network depend on a new numerical characteristic, the degree of periodicity.
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spelling doaj.art-32de16e95f8b4243a8c22dd43d8cdd052023-11-17T12:27:38ZengMDPI AGMathematics2227-73902023-03-01116136710.3390/math11061367Shunting Inhibitory Cellular Neural Networks with Compartmental Unpredictable Coefficients and InputsMarat Akhmet0Madina Tleubergenova1Akylbek Zhamanshin2Department of Mathematics, Middle East Technical University, 06800 Ankara, TurkeyDepartment of Mathematics, Aktobe Regional University, Aktobe 030000, KazakhstanDepartment of Mathematics, Middle East Technical University, 06800 Ankara, TurkeyShunting inhibitory cellular neural networks with compartmental periodic unpredictable coefficients and inputs is the focus of this research. A new algorithm is suggested, to enlarge the set of known unpredictable functions by applying diagonalization in arguments of functions of several variables. Sufficient conditions for the existence and uniqueness of exponentially stable unpredictable and Poisson stable outputs are obtained. To attain theoretical results, the included intervals method and the contraction mapping principle are used. Appropriate examples with numerical simulations that support the theoretical results are provided. It is shown how dynamics of the neural network depend on a new numerical characteristic, the degree of periodicity.https://www.mdpi.com/2227-7390/11/6/1367shunting inhibitory cellular neural networkscompartmental periodic unpredictable functionsunpredictable solutionsPoisson stable solutionsthe method of included intervalsexponential stability
spellingShingle Marat Akhmet
Madina Tleubergenova
Akylbek Zhamanshin
Shunting Inhibitory Cellular Neural Networks with Compartmental Unpredictable Coefficients and Inputs
Mathematics
shunting inhibitory cellular neural networks
compartmental periodic unpredictable functions
unpredictable solutions
Poisson stable solutions
the method of included intervals
exponential stability
title Shunting Inhibitory Cellular Neural Networks with Compartmental Unpredictable Coefficients and Inputs
title_full Shunting Inhibitory Cellular Neural Networks with Compartmental Unpredictable Coefficients and Inputs
title_fullStr Shunting Inhibitory Cellular Neural Networks with Compartmental Unpredictable Coefficients and Inputs
title_full_unstemmed Shunting Inhibitory Cellular Neural Networks with Compartmental Unpredictable Coefficients and Inputs
title_short Shunting Inhibitory Cellular Neural Networks with Compartmental Unpredictable Coefficients and Inputs
title_sort shunting inhibitory cellular neural networks with compartmental unpredictable coefficients and inputs
topic shunting inhibitory cellular neural networks
compartmental periodic unpredictable functions
unpredictable solutions
Poisson stable solutions
the method of included intervals
exponential stability
url https://www.mdpi.com/2227-7390/11/6/1367
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AT madinatleubergenova shuntinginhibitorycellularneuralnetworkswithcompartmentalunpredictablecoefficientsandinputs
AT akylbekzhamanshin shuntinginhibitorycellularneuralnetworkswithcompartmentalunpredictablecoefficientsandinputs