Jorge Cortés
Professor
Cymer Corporation Endowed Chair
Dynamic average consensus with distributed
event-triggered communication
S. S. Kia, J. Cortés, S. Martínez
Proceedings of the IEEE Conference on Decision and
Control, Los Angeles, California, USA, 2014, pp. 890-895
Abstract
This paper analyzes distributed algorithmic
solutions to dynamic average consensus implemented
in continuous time and relying on communication at
discrete instants of time. Our starting point is a
distributed coordination strategy that, under
continuous-time communication, achieves practical
asymptotic tracking of the dynamic average of the
time-varying agents' inputs. We propose two
different distributed event-triggered communication
laws, depending on whether the interaction topology
is described by a strongly connected and
weight-balanced digraph or an undirected connected
graph. In both cases, we establish positive lower
bounds on the inter-event times of each agent and
characterize their dependence of the algorithm
design parameters. We build on this result to rule
out the presence of Zeno behavior and characterize
the asymptotic correctness of the resulting
implementations. Simulations illustrate the
results.
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Mechanical and Aerospace Engineering,
University of California, San Diego
9500 Gilman Dr,
La Jolla, California, 92093-0411
Ph: 1-858-822-7930
Fax: 1-858-822-3107
cortes at ucsd.edu
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jorgilliyo