Topology identification of uncertain nonlinearly coupled complex networks with delays based on anticipatory synchronization

Chaos. 2013 Mar;23(1):013127. doi: 10.1063/1.4793541.

Abstract

This paper presents an adaptive anticipatory synchronization based method for simultaneous identification of topology and parameters of uncertain nonlinearly coupled complex dynamical networks with time delays. An adaptive controller is proposed, based on Lyapunov stability theorem and Barbǎlat's Lemma, to guarantee the stability of the anticipatory synchronization manifold between drive and response networks. Meanwhile, not only the identification criteria of network topology and system parameters are obtained but also the anticipatory time is identified. Numerical simulation results illustrate the effectiveness of the proposed method.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Computer Simulation
  • Humans
  • Membrane Potentials
  • Models, Neurological
  • Nerve Net / physiology
  • Nonlinear Dynamics*
  • Numerical Analysis, Computer-Assisted
  • Reaction Time
  • Synapses / physiology
  • Systems Theory*
  • Time Factors