Discrete Dynamics in Nature and Society
Volume 2013 (2013), Article ID 206408, 9 pages
http://dx.doi.org/10.1155/2013/206408
Research Article

Consensus of Multiagent Systems with Sampled Information and Noisy Measurements

Zhao-Jun Tang,1,2 Ting-Zhu Huang,2 and Jin-Liang Shao2

1School of Science, Chongqing Jiaotong University, Chongqing 400074, China
2School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China

Received 26 October 2012; Accepted 4 January 2013

Academic Editor: Vimal Singh

Copyright © 2013 Zhao-Jun Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We consider consensus problems of first-order multiagent systems with sampled information and noisy measurements. A distributed stochastic approximation type algorithm is employed to attenuate the measurement noises. We provide conditions under which almost sure strong consensus is guaranteed for fixed and switching directed network topologies. Simulation results are provided to illustrate the theoretical results.