Exponential synchronization of inertial neural network with mixed delays via intermittent pinning control

Meng Hui, Jiefei Yan, Jiao Zhang, Herbert Ho Ching Iu, Rui Yao, Lin Bai

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

This article considers the problem of exponential synchronization of inertial neural networks (INNs) with mixed delays via a novel hybrid control scheme consisting of pinning and periodic intermittent control. Both the discrete delay and distributed delay are taken into account in the network model. Through the proper variable substitution, the original system is transferred into a simply formed differential equation. Meantime, some new sufficient conditions are derived by the Lyapunov stability theory for the exponential synchronization of INNs. Eventually, numerical simulations are given to present the effectiveness of the theoretical method.

Original languageEnglish
Pages (from-to)358-372
Number of pages15
JournalInternational Journal of Robust and Nonlinear Control
Volume32
Issue number1
Early online date3 Oct 2021
DOIs
Publication statusPublished - 10 Jan 2022

Fingerprint

Dive into the research topics of 'Exponential synchronization of inertial neural network with mixed delays via intermittent pinning control'. Together they form a unique fingerprint.

Cite this