Talks and Poster Presentations (with Proceedings-Entry):

O. Sluciak, M. Rupp:
"Steady-State Analysis Of A Quantized Average Consensus Algorithm Using State-Space Description";
Talk: European Signal Processing Conference (EUSIPCO), Aalborg,Denmark; 08-23-2010 - 08-27-2010; in: "Proceedings European Signal Processing Conference (EUSIPCO)", (2010), 199 - 203.

English abstract:
Following our recently developed method we provide
a proof of convergence of the average consensus algorithm
with quantized communication links as proposed
by Censi and Murray. Using a state-space framework
for describing distributed algorithms, we can derive accurate
bounds on the drift from the mean for algorithms
with noisy links, either caused by an external noise or
by quantization. We then test these bounds for several
network topologies and compare with simulations.

Quantized, average consensus, steady state, state-space

Electronic version of the publication:

Related Projects:
Project Head Markus Rupp:
Signal and Information Processing in Science and Engineering - Entwicklungsmethodik

Created from the Publication Database of the Vienna University of Technology.