Distributed average consensus based on structural weight‐balanceability
Reza Haghighi, Chien Chern Cheah · IET Control Theory and Applications · 2014
This study presents the concept of structural weight‐balanceability of network systems as a useful method to examine the average consensus of the systems. The authors introduce the notion of structurally unobservable node based on structural observability concept to determine the structural weight‐balanceability of a network. They propose a simple technique to identify structurally unobservable nodes, and consequently infer on structural weight‐balanceability of the network. A mathematical method based on principal minors of the associated Laplacian matrix of the network is developed to modify a structurally weight‐balanceable network into a weight‐balanced one. A distributed method is presented to compute normalised principal minors in a large‐scale network system with directed communication topology. This is the first work that provides a rigorous mathematical formulation to check the structural weight‐balanceability of network systems and make a structurally weight‐balanceable network, weight‐balanced. Finally, simulation results are presented to illustrate the performance of the proposed method in dealing with networks with a large number of nodes.