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Neural Processing Letters
Published in: Neural Processing Letters 6/2022

21-05-2022

New Results on Finite/Fixed-Time Stabilization of Stochastic Second-Order Neutral-Type Neural Networks with Mixed Delays

Authors: Chaouki Aouiti, Hediene Jallouli, Quanxin Zhu, Tingwen Huang, Kaibo Shi

Published in: Neural Processing Letters | Issue 6/2022

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Abstract

This paper states with the objective of investigating the finite-time stabilization and fixed-time stabilization analysis for stochastic second-order neutral-type neural networks with mixed delays. By using a variable transformation, we first rewrite the original system as a first-order differential system. By designing some feedback control laws inputs, stochastic analysis theory, finite-time stability theorem, fixed-time stability theorem, based on Lyapunov Functionals and inequalities techniques, new sufficient conditions ensuring the finite/fixed-time stabilization of the suggested system are given. Finally, the developed main control schemes, the finite/fixed-time stabilization for the stochastic Neural Networks are confirmed by two simulations examples.
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Metadata
Title
New Results on Finite/Fixed-Time Stabilization of Stochastic Second-Order Neutral-Type Neural Networks with Mixed Delays
Authors
Chaouki Aouiti
Hediene Jallouli
Quanxin Zhu
Tingwen Huang
Kaibo Shi
Publication date
21-05-2022
Publisher
Springer US
Published in
Neural Processing Letters / Issue 6/2022
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-022-10868-9

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