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Intermittent Control Based Exponential Synchronization of Inertial Neural Networks with Mixed Delays.

Authors :
Hui, Jiaojiao
Hu, Cheng
Yu, Juan
Jiang, Haijun
Source :
Neural Processing Letters; Dec2021, Vol. 53 Issue 6, p3965-3979, 15p
Publication Year :
2021

Abstract

This article is devoted to the synchronization of delayed inertial neural systems by virtue of intermittent control scheme. In the proposed inertial models, a type of mixed delays is introduced which is composed of discrete delays and infinite distributed delays. Particulary, the finite distributed delays can be easily obtained by selecting specific kernel functions in infinite distribute delays. To realize exponential synchronization, different from the previous continuous designs for the first-order systems obtained by suitable substitutions of reduced-order, an intermittent control scheme is directly developed for the response inertial systems. Furthermore, a direct analysis method is proposed to derive the synchronization conditions by constructing a Lyapunov functional formed by the state variables and their derivatives. Lastly, the designed control scheme and established criteria are verified via providing a numerical example. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
SYNCHRONIZATION
KERNEL functions

Details

Language :
English
ISSN :
13704621
Volume :
53
Issue :
6
Database :
Complementary Index
Journal :
Neural Processing Letters
Publication Type :
Academic Journal
Accession number :
153318961
Full Text :
https://doi.org/10.1007/s11063-021-10574-y