A discrete-time flocking algorithm for agents with sampled-data double-integrator dynamics

Abstract

We present a multi-agent control method that addresses flocking in discrete time. The method is decentralized, that is, each agent's controller relies on local sensing to determine the relative positions and velocities of nearby agents. Each agent has the discrete-time double-integrator dynamics obtained by sampling the continuous-time double integrator and… (More)
DOI: 10.23919/ACC.2017.7963137

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Cite this paper

@article{Wellman2017ADF, title={A discrete-time flocking algorithm for agents with sampled-data double-integrator dynamics}, author={Brandon J. Wellman and Jesse B. Hoagg}, journal={2017 American Control Conference (ACC)}, year={2017}, pages={1334-1339} }