Discrete-time dynamic average consensus

We propose a class of discrete-time dynamic average consensus algorithms that allow a group of agents to track the average of their reference inputs. The convergence results rely on the input-to-output stability properties of static average consensus algorithms and require that the union of communication graphs over a bounded period of time be strongly connected. The only requirement on the set of reference inputs is that the maximum relative deviation between the nth -order differences of

• Type: Journal
• Year: 2010
• Where: AUTOMATICA
• Authors: Minghui Zhu, Sonia Martínez
• Keywords: AUTOMATICA 2010, Average Consensus, Dynamic Average Consensus, Static Average Consensus