Sonia Martínez
Jacobs Faculty Scholar
Professor of Mechanical and Aerospace Engineering
Jacobs Faculty Scholar
Professor of Mechanical and Aerospace Engineering
We propose a class of dynamic consensus algorithms that allow a group of agents to track the average of their measured signals. The algorithms are implemented in discrete time and require a synchronous communication schedule. The convergence results rely on the input-to-state stability properties of 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 signals is that the difference of the $n^{th}$-order derivatives of any two signals be bounded for some $n \ge 0$.
@InProceedings{MZ-SM:08-acc,
author = {M. Zhu and S. Mart{\'\i}nez},
booktitle = {2008 American Control Conference},
title = {Dynamic average consensus on
synchronous communication networks},
year = {2008},
pages = {4382-4387},
address = {Seattle, Washington}
}