Quasi projective synchronization of time varying delayed complex valued Cohen-Grossberg neural networks

In this article the quasi-projective synchronization of time-varying delayed complex -valued Cohen Grossberg Neural Networks (CGNNs) has been studied. The purpose of this study is to find a criterion for quasi-projective synchronization of two non-identical CGNNs by constructing a suitable controller and using direct method. The important con-tribution of the article is to estimate the bound of the synchronization error. Some suffi-cient criteria for synchronization between master and response systems are also established. The efficiency of the proposed method is justified through numerical simula-tion applied to a specific example. (c) 2022 Elsevier Inc. All rights reserved.

Automated summary

This article investigates the quasi-projective synchronization of time-varying delayed complex-valued Cohen Grossberg Neural Networks (CGNNs). The study aims to find a criterion for quasi-projective synchronization of two non-identical CGNNs by constructing a suitable controller and utilizing the direct method. The significant contribution is estimating the bound of the synchronization error and establishing sufficient criteria for synchronization. The proposed method's effectiveness is justified through numerical simulation in a specific example.