TY - JOUR
T1 - Consensus of multi-agent systems with time-varying topology
T2 - An event-based dynamic feedback scheme
AU - Zhu, Wei
AU - Li, Huaqing
AU - Jiang, Zhong Ping
N1 - Funding Information:
This work is supported partly by National Natural Science Foundation of China under Grant 61403314, partly by Training Programme Foundation for the Talents of Higher Education by Chongqing Education Commission, part by the Natural Science Foundation Project of Chongqing CSTC under Grant cstc2013jcyjA00026, cstc2014jcyjA40016, partly by the U.S. National Science foundation grants DMS-0906659 and ECCS-1230040.
Publisher Copyright:
Copyright © 2016 John Wiley & Sons, Ltd.
PY - 2017/5/25
Y1 - 2017/5/25
N2 - The event-based control strategy is an effective methodology for reducing the controller update and communication over the network. In this paper, the event-based consensus of multi-agent systems with linear dynamics and time-varying topology is studied. For each agent, a state-dependent threshold with an exponentially decaying bound is presented to determine the event times, and a new event-based dynamic feedback scheme is proposed. It is shown that the controller update for each agent is only dependent on its own event times, which reduces significantly the controller update or computation for each agent. Moreover, based on the event-based dynamic feedback scheme and the event triggering function presented in this paper, the continuous communication among neighboring agents is avoided, and the Zeno-behavior of the closed-loop systems is excluded. A numerical example is given to illustrate the effectiveness of theoretical results.
AB - The event-based control strategy is an effective methodology for reducing the controller update and communication over the network. In this paper, the event-based consensus of multi-agent systems with linear dynamics and time-varying topology is studied. For each agent, a state-dependent threshold with an exponentially decaying bound is presented to determine the event times, and a new event-based dynamic feedback scheme is proposed. It is shown that the controller update for each agent is only dependent on its own event times, which reduces significantly the controller update or computation for each agent. Moreover, based on the event-based dynamic feedback scheme and the event triggering function presented in this paper, the continuous communication among neighboring agents is avoided, and the Zeno-behavior of the closed-loop systems is excluded. A numerical example is given to illustrate the effectiveness of theoretical results.
KW - consensus
KW - event-based dynamic feedback
KW - state-dependent threshold
KW - time-varying topology
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U2 - 10.1002/rnc.3631
DO - 10.1002/rnc.3631
M3 - Article
AN - SCOPUS:84982994999
SN - 1049-8923
VL - 27
SP - 1339
EP - 1350
JO - International Journal of Robust and Nonlinear Control
JF - International Journal of Robust and Nonlinear Control
IS - 8
ER -