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Exponential Synchronization of Nonlinear Multi-weighted Complex Dynamic Networks with Hybrid Time Varying Delays

  • Alagappa University
  • Hunan Normal University
  • Chengdu University
  • Prince Sultan University (PSU)
  • Deakin University

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

In this article, we investigate an exponential synchronization problem for the multi-weighted complex dynamical network (MCDN) with hybrid delays on a time scale. Here we consider a general model for multi-weighted complex dynamical networks in both discrete as well as continuous-time systems. Based on the theory of time scale and standard Lyapunov–Krasovskii functional, a novel sufficient conditions guaranteeing the exponential stability of the origin of complex dynamical networks are determined in terms of Linear Matrix Inequality. Finally, two numerical examples with their simulations are presented to demonstrate the efficiency of the proposed method.

Original languageEnglish
Pages (from-to)1035-1063
Number of pages29
JournalNeural Processing Letters
Volume53
Issue number2
DOIs
Publication statusPublished - Apr 2021

Keywords

  • Delta derivative
  • Exponential synchronization
  • Multi-weighted complex dynamic networks
  • Multiple time-varying delays
  • Time scale

ASJC Scopus subject areas

  • Software
  • General Neuroscience
  • Computer Networks and Communications
  • Artificial Intelligence

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