TY - GEN
T1 - Dynamic average consensus on synchronous communication networks
AU - Zhu, Minghui
AU - Martínez, Sonia
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - We propose a class of dynamic average 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-output 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 nth-order derivatives of any two signals be bounded for some n ≥ 0.
AB - We propose a class of dynamic average 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-output 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 nth-order derivatives of any two signals be bounded for some n ≥ 0.
UR - http://www.scopus.com/inward/record.url?scp=52449103246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52449103246&partnerID=8YFLogxK
U2 - 10.1109/ACC.2008.4587184
DO - 10.1109/ACC.2008.4587184
M3 - Conference contribution
AN - SCOPUS:52449103246
SN - 9781424420797
T3 - Proceedings of the American Control Conference
SP - 4382
EP - 4387
BT - 2008 American Control Conference, ACC
T2 - 2008 American Control Conference, ACC
Y2 - 11 June 2008 through 13 June 2008
ER -