Fast second-order distributed consensus with adaptive quantization

Author

Peng Huanxin ; Wang Wenkai

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 order to improve the accuracy and the convergence rate of distributed consensus under quantized communication, in the paper, based on adaptive quantization scheme, we propose the fast second-order distributed consensus algorithm. We analyze the convergence performance. The fast second-order distributed consensus with adaptive quantization achieves a consensus in a mean square sense, and the consensus is equal to the average of the initial states. Simultaneously, Simulations are done about the fast second-order distributed consensus based on adaptive quantization. Results show that the fast second-order distributed consensus algorithm based on adaptive quantization can reach an average consensus, and its convergence rate is higher than that of the first-order adaptive quantized distributed consensus algorithm, moreover, the mean square errors are smaller within the finite steps.

Keywords

mean square error methods; quantisation (signal); adaptive quantization; convergence performance; fast second-order distributed consensus; mean square errors; quantized communication; Algorithm design and analysis; Convergence; Mean square error methods; Probabilistic logic; Quantization (signal); Signal processing algorithms; Topology; adaptive quantization; distributed consensus; quantized communication; second-order 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.2012.6612491

Filename

6612491