Pull-Based Distributed Event-triggered Consensus for Multi-agent Systems with Directed Topologies
Abstract
This paper mainly investigates consensus problem with pull-based event-triggered feedback control. For each agent, the diffusion coupling feedbacks are based on the states of its in-neighbors at its latest triggering time and the next triggering time of this agent is determined by its in-neighbors' information as well. The general directed topologies, including irreducible and reducible cases, are investigated. The scenario of distributed continuous monitoring is considered firstly, namely each agent can observe its in-neighbors' continuous states. It is proved that if the network topology has a spanning tree, then the event-triggered coupling strategy can realize consensus for the multi-agent system. Then the results are extended to discontinuous monitoring, i.e., self-triggered control, where each agent computes its next triggering time in advance without having to observe the system's states continuously. The effectiveness of the theoretical results are illustrated by a numerical example finally.
Cite
@article{arxiv.1410.4246,
title = {Pull-Based Distributed Event-triggered Consensus for Multi-agent Systems with Directed Topologies},
author = {Xinlei Yi and Wenlian Lu and Tianping Chen},
journal= {arXiv preprint arXiv:1410.4246},
year = {2015}
}
Comments
arXiv admin note: text overlap with arXiv:1407.1377