Collisionless and Decentralized Formation Control for Strings

Fuente: arXiv
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Auteurs principaux: Choi, Young-Pil, Kalise, Dante, Peters, Andrés A.
Format: Preprint
Publié: 2021
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author Choi, Young-Pil
Kalise, Dante
Peters, Andrés A.
author_facet Choi, Young-Pil
Kalise, Dante
Peters, Andrés A.
contents A decentralized feedback controller for multi-agent systems, inspired by vehicle platooning, is proposed. The closed loop resulting from the decentralized control action has three distinctive features: the generation of collision-free trajectories, flocking of the system towards a consensus state in velocity, and asymptotic convergence to a prescribed pattern of distances between agents. For each feature, a rigorous dynamical analysis is provided, yielding a characterization of the set of parameters and initial configurations where collision avoidance, flocking, and pattern formation are guaranteed. Numerical tests assess the theoretical results presented.
format Preprint
id arxiv_https___arxiv_org_abs_2102_13621
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Collisionless and Decentralized Formation Control for Strings
Choi, Young-Pil
Kalise, Dante
Peters, Andrés A.
Optimization and Control
Multiagent Systems
Dynamical Systems
Adaptation and Self-Organizing Systems
A decentralized feedback controller for multi-agent systems, inspired by vehicle platooning, is proposed. The closed loop resulting from the decentralized control action has three distinctive features: the generation of collision-free trajectories, flocking of the system towards a consensus state in velocity, and asymptotic convergence to a prescribed pattern of distances between agents. For each feature, a rigorous dynamical analysis is provided, yielding a characterization of the set of parameters and initial configurations where collision avoidance, flocking, and pattern formation are guaranteed. Numerical tests assess the theoretical results presented.
title Collisionless and Decentralized Formation Control for Strings
topic Optimization and Control
Multiagent Systems
Dynamical Systems
Adaptation and Self-Organizing Systems
url https://arxiv.org/abs/2102.13621