Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
697746 | Automatica | 2010 | 8 Pages |
Abstract
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 nnth-order differences of any two reference inputs be bounded for some integer n≥1n≥1.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Minghui Zhu, Sonia Martínez,