Consensus in networks of multiple double-integrators based on edge-event driven sampled-data control
Cao Mengtao, Feng Xiao, Long Wang
Abstract
Cao Mengtao, Feng Xiao, Long Wang
Abstract
This paper studies the consensus problem with double-integrator individual dynamics under undirected topologies. A consensus protocol based on sampled-data control and edge-event driven techniques is proposed, and also two associated event-triggering rules are presented. These edge events rely on the information of the corresponding two neighboring agents only and the event-triggering actions of edges are independent of each other. It is proved that such a protocol can solve the averagevelocity consensus problem of double-integrator networks. Finally, simulations are given to demonstrate the effectiveness of our theoretical results.
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This paper studies the consensus problem with double-integrator individual dynamics under undirected topologies. A consensus protocol based on sampled-data control and edge-event driven techniques is proposed, and also two associated event-triggering rules are presented. These edge events rely on the information of the corresponding two neighboring agents only and the event-triggering actions of edges are independent of each other. It is proved that such a protocol can solve the averagevelocity consensus problem of double-integrator networks. Finally, simulations are given to demonstrate the effectiveness of our theoretical results.
Key concepts: Double integrator, Integrator, Consensus, Network topology, Computer science, Enhanced Data Rates for GSM Evolution, Event (particle physics), Protocol (science)