TY - GEN
T1 - Robust H ∞ consensus on directed networks with quantized communication
AU - Li, Shuai
AU - Guo, Yi
AU - Fang, Jun
AU - Li, Hongbin
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84867223947&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867223947&partnerID=8YFLogxK
U2 - 10.1109/SAM.2012.6250521
DO - 10.1109/SAM.2012.6250521
M3 - Conference contribution
AN - SCOPUS:84867223947
SN - 9781467310710
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 397
EP - 400
BT - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
T2 - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Y2 - 17 June 2012 through 20 June 2012
ER -