IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Natural Computation, 2009. IC ... Help

A New Scheme of Synchronization-Based Topology Identification for a Class of Weighted General Complex Dynamical Networks with Time-Varying Coupling Delay

Full Text Sign-In or Purchase

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing! close button
puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhongsheng Wang ; Coll. of Autom., Guangdong Polytech. Normal Univ., Guangzhou, China ; Yan jun Liang

The paper aims to present a new scheme of synchronization-based topology identification for a class of weighted general complex dynamical networks with time-varying coupling delays. By combining the adaptive control method and the Razumikhin-type theorem, a new feedback technique to identify the exact topology of the dynamical networks with time-varying coupling delay has been proposed. In comparison with the previous methods, the time-varying coupling delay must not slowly vary with time, that is, the derivative of time-varying delay can be larger than 1. The simulation results show the effectiveness of the proposed scheme.

Published in:
Natural Computation, 2009. ICNC '09. Fifth International Conference on  (Volume:1 )

Date of Conference: 14-16 Aug. 2009

Page(s):
27 - 31
Print ISBN:
978-0-7695-3736-8
INSPEC Accession Number:
11034491
Conference Location :
Tianjin
Digital Object Identifier :
10.1109/ICNC.2009.75
Product Type:
Conference Publications

IEEE Account

Purchase Details

Profile Information

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.