Distributed Consensus Networks of Neutral Type
Date: June 16 - June 19, 2015
We propose and study a network of autonomous agents which evolve their state under a distributed consensus algorithm of non-linear neutral type. We provide sufficient conditions for convergence to a common consensus point, by means of a stability in variation argument and fixed point theory. Our approach provides both an estimation on the rate of convergence and an implicit expression for the consensus point.