Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 5, Issue: 24)
Article Information:

Synchronization of Coupled Chaotic Neurons with Unknown Time Delays via Adaptive Backstepping Control

Chunxiao Han, Ruixue Li, Shuyan Ren, Li Yang and Yanqiu Che
Corresponding Author:  Yanqiu Che 

Key words:  Backstepping control, chaos synchronization, FitzHugh-Nagumo (FHN) model, RBF neural networks, time delay, ,
Vol. 5 , (24): 5509-5515
Submitted Accepted Published
September 14, 2012 October 09, 2012 May 30, 2013
Abstract:

In this study, an adaptive Neural Network (NN) based backstepping controller is proposed to realize chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons with uncertain time delays. In the designed backstepping controller, a simple Radial Basis Function (RBF) NN is used to approximate the uncertain nonlinear part of the error dynamical system. The weights of the NN are tuned on-line. A Lyapunov-Krasovskii function is designed to overcome the difficulties from the unknown time delays. Moreover, to relax the requirement for boundness of disturbance, an adaptive law to adapt the disturbance in real time is given. According to the Lyapunov stability theory, the stability of the closed error system is guaranteed. The control scheme is robust to the uncertainties such as approximate error, ionic channel noise and external disturbances. Chaos synchronization is obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.
Abstract PDF HTML
  Cite this Reference:
Chunxiao Han, Ruixue Li, Shuyan Ren, Li Yang and Yanqiu Che, 2013. Synchronization of Coupled Chaotic Neurons with Unknown Time Delays via Adaptive Backstepping Control.  Research Journal of Applied Sciences, Engineering and Technology, 5(24): 5509-5515.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved