Literature DB >> 30408696

Fixed-time synchronization of inertial memristor-based neural networks with discrete delay.

Chuan Chen1, Lixiang Li2, Haipeng Peng3, Yixian Yang4.   

Abstract

This paper is concerned with the fixed-time synchronization control of inertial memristor-based neural networks with discrete delay. We design four different kinds of feedback controllers, under which the considered inertial memristor-based neural networks can realize fixed-time synchronization perfectly. Moreover, the obtained fixed-time synchronization criteria can be verified by algebraic operations. For any initial synchronization error, the settling time of fixed-time synchronization is bounded by a fixed constant, which can be calculated beforehand based on system parameters and controller parameters. Numerical simulations are given to illustrate the effectiveness of our theoretical results.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Feedback controllers; Fixed-time synchronization; Inertial; Memristor; Neural networks

Mesh:

Year:  2018        PMID: 30408696     DOI: 10.1016/j.neunet.2018.10.011

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  2 in total

1.  The Synchronization Analysis of Cohen-Grossberg Stochastic Neural Networks with Inertial Terms.

Authors:  Zhi-Ying Li; Wang-Dong Jiang; Yue-Hong Zhang
Journal:  Comput Intell Neurosci       Date:  2022-05-25

2.  Fixed-Time Synchronization Control of Delayed Dynamical Complex Networks.

Authors:  Mei Liu; Binglong Lu; Zhanfeng Li; Haijun Jiang; Cheng Hu
Journal:  Entropy (Basel)       Date:  2021-11-30       Impact factor: 2.524

  2 in total

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