DocumentCode
2742297
Title
Robust H℮ consensus on directed networks with quantized communication
Author
Li, Shuai ; Guo, Yi ; Fang, Jun ; Li, Hongbin
Author_Institution
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
fYear
2012
fDate
17-20 June 2012
Firstpage
397
Lastpage
400
Abstract
We study average consensus for directed graphs with quantized communication. In the presence of quantization errors, average consensus cannot be accurately reached. We develop robust consensus algorithms to reduce the effect of quantization. Linear matrix inequalities are used as design tools. Numerical results demonstrate the effectiveness of this method.
Keywords
H∞ control; directed graphs; linear matrix inequalities; quantisation (signal); directed graphs; directed networks; linear matrix inequalities; quantization errors; quantized communication; robust H∞ consensus; robust consensus algorithms; Linear matrix inequalities; Performance analysis; Protocols; Quantization; Robustness; Stochastic processes; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location
Hoboken, NJ
ISSN
1551-2282
Print_ISBN
978-1-4673-1070-3
Type
conf
DOI
10.1109/SAM.2012.6250521
Filename
6250521
Link To Document