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Pull-Based Distributed Event-Triggered Consensus for Multiagent Systems With Directed Topologies

delete2017-01-01
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OA
AI
X
Xinlei Yi
W
Wenlian Lu *
T
Tianping Chen
DOI:10.1109/TNNLS.2015.2498303delete
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Abstract

Abstract

En 中文
This paper mainly investigates consensus problem with a 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. The general directed topologies, including irreducible and reducible cases, are investigated. The scenario of distributed continuous communication is considered first. It is proved that if the network topology has a spanning tree, then the event-triggered coupling algorithm can realize the consensus for the multiagent system. Then, the results are extended to discontinuous communication, 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 is illustrated by a numerical example finally.
Keywords:
Consensus
directed
event-triggered
irreducible
multiagent systems
reducible
self-triggered
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Journal

IEEE Transactions on Neural Networks and Learning Systems cover
IEEE Transactions on Neural Networks and Learning Systems
IF:
8.9
Papers:
7.5K
Citations:
7.2W

Organization

F
fudan university
Scholars:
11.6W
Papers: 7.7W
Citations: 121