Cart (Loading....) | Create Account
Close category search window

The quantization error in the average consensus problem

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

4 Author(s)
Carli, R. ; DEI, Univ. of Padova, Padova ; Fagnani, F. ; Frasca, P. ; Zampieri, S.

This work studies how uniform quantization in communications affects the linear diffusion algorithm for average consensus problem. Starting from the well-known linear diffusion algorithm, we analyze a simple and effective adaptation which is able to preserve the average of states and to drive the system near to the consensus value. The error is estimated by a worst case analysis, which suggests that it can increase as the number of agents goes to infinity. The algorithm is also compared with the existing literature.

Published in:

Control and Automation, 2008 16th Mediterranean Conference on

Date of Conference:

25-27 June 2008

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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.