Adaptive Q-S (lag, anticipated, and complete) time-varying synchronization and parameters identification of uncertain delayed neural networks

Chaos. 2006 Jun;16(2):023119. doi: 10.1063/1.2204747.

Abstract

In this paper, a new type of generalized Q-S (lag, anticipated, and complete) time-varying synchronization is defined. Adaptive Q-S (lag, anticipated, and complete) time-varying synchronization and parameters identification of uncertain delayed neural networks have been considered, where the delays are multiple time-varying delays. A novel control method is given by using the Lyapunov functional method. With this new and effective method, parameters identification and Q-S (lag, anticipated, and complete) time-varying synchronization can be achieved simultaneously. Simulation results are given to justify the theoretical analysis in this paper.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Action Potentials / physiology*
  • Adaptation, Physiological / physiology
  • Computer Simulation
  • Models, Neurological*
  • Models, Statistical
  • Nerve Net / physiology*
  • Neuronal Plasticity / physiology*
  • Neurons / physiology*
  • Nonlinear Dynamics*
  • Synaptic Transmission / physiology*
  • Time Factors