Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks

The current paper considers discrete stochastic inertial neural networks (SINNs) with reaction diffusions. Firstly, we give the difference form of SINNs with reaction diffusions. Secondly, stochastic synchronization and passivity-based control frames of discrete time and space SINNs are newly formul...

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Main Authors: Yongyan Yang, Tianwei Zhang, Zhouhong Li
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/12/9/820
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author Yongyan Yang
Tianwei Zhang
Zhouhong Li
author_facet Yongyan Yang
Tianwei Zhang
Zhouhong Li
author_sort Yongyan Yang
collection DOAJ
description The current paper considers discrete stochastic inertial neural networks (SINNs) with reaction diffusions. Firstly, we give the difference form of SINNs with reaction diffusions. Secondly, stochastic synchronization and passivity-based control frames of discrete time and space SINNs are newly formulated. Thirdly, by designing a boundary controller and constructing a Lyapunov-Krasovskii functional, we address decision theorems for stochastic synchronization and passivity-based control for the aforementioned discrete SINNs. Finally, to illustrate our main results, a numerical illustration is provided.
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spelling doaj.art-9abd60a5bed34b4695d021d29a666a112023-11-19T09:32:11ZengMDPI AGAxioms2075-16802023-08-0112982010.3390/axioms12090820Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural NetworksYongyan Yang0Tianwei Zhang1Zhouhong Li2Department of Mathematics, Puyang Petrochemical Vocational and Techenical College, Puyang 457001, ChinaDepartment of Mathematics, Yunnan University, Kunming 650091, ChinaDepartment of Mathematics, Yuxi Normal University, Yuxi 653100, ChinaThe current paper considers discrete stochastic inertial neural networks (SINNs) with reaction diffusions. Firstly, we give the difference form of SINNs with reaction diffusions. Secondly, stochastic synchronization and passivity-based control frames of discrete time and space SINNs are newly formulated. Thirdly, by designing a boundary controller and constructing a Lyapunov-Krasovskii functional, we address decision theorems for stochastic synchronization and passivity-based control for the aforementioned discrete SINNs. Finally, to illustrate our main results, a numerical illustration is provided.https://www.mdpi.com/2075-1680/12/9/820coupled networkspassivity-based controlstochastic synchronizationdiscrete spatial diffusion
spellingShingle Yongyan Yang
Tianwei Zhang
Zhouhong Li
Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks
Axioms
coupled networks
passivity-based control
stochastic synchronization
discrete spatial diffusion
title Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks
title_full Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks
title_fullStr Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks
title_full_unstemmed Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks
title_short Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks
title_sort boundary controlling synchronization and passivity analysis for multi variable discrete stochastic inertial neural networks
topic coupled networks
passivity-based control
stochastic synchronization
discrete spatial diffusion
url https://www.mdpi.com/2075-1680/12/9/820
work_keys_str_mv AT yongyanyang boundarycontrollingsynchronizationandpassivityanalysisformultivariablediscretestochasticinertialneuralnetworks
AT tianweizhang boundarycontrollingsynchronizationandpassivityanalysisformultivariablediscretestochasticinertialneuralnetworks
AT zhouhongli boundarycontrollingsynchronizationandpassivityanalysisformultivariablediscretestochasticinertialneuralnetworks