Pseudo two-hop distributed consensus algorithm with communication noise

Author

Wang Wenkai ; Peng Huanxin

Author_Institution

Sch. of Mech. Eng., Nanjing Inst. of Ind. Technol., Nanjing, China

fYear

2012

fDate

18-20 Sept. 2012

Firstpage

1

Lastpage

4

Abstract

In this paper, we analyze the pseudo two-hop distributed consensus algorithm with communication noise. If there is communication noise among agents, the convergence performance of distributed consensus algorithms degrades. Supposing that the communication noises are zero-mean Gaussian white noise, and the noises are irrelevant and independent in time and spatial, we analyze the convergence performance of the pseudo two-hop distributed consensus algorithm with noise, and calculate mean square errors and the upper bound of mean-square error of the pseudo two-hop distributed consensus algorithm. Finally, simulation results are provided to verify these analytical results.

Keywords

Gaussian noise; information theory; mean square error methods; communication noise; mean square errors; pseudo two-hop distributed consensus algorithm; zero-mean Gaussian white noise; Algorithm design and analysis; Convergence; Mean square error methods; Signal processing algorithms; Topology; White noise; communication noise; convergence performance; distributed average consensus; pseudo two-hop algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Automation Conference (PEAM), 2012 IEEE

Conference_Location

Wuhan

Print_ISBN

978-1-4577-1599-0

Type

conf

DOI

10.1109/PEAM.2012.6612494

Filename

6612494