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A hybrid controller for multi-agent collision avoidance via a differential game formulation

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Title: A hybrid controller for multi-agent collision avoidance via a differential game formulation
Authors: Cappello, D
Garcin, S
Mao, Z
Sassano, M
Paranjape, A
Mylvaganam, T
Item Type: Journal Article
Abstract: We consider the multi-agent collision avoidance problem for a team of wheeled mobile robots. Recently, a local solution to this problem, based on a game theoretic formulation, has been provided and validated via numerical simulations. Due to its local nature the result is not well-suited for online application. In this paper we propose a novel hybrid implementation of the control inputs that yields a control strategy suited for the online navigation of mobile robots. Moreover, subject to a certain dwell time condition, the resulting trajectories are globally convergent. The control design is demonstrated both via simulations and experiments.
Issue Date: 1-Jul-2021
Date of Acceptance: 22-Jun-2020
URI: http://hdl.handle.net/10044/1/81127
DOI: 10.1109/TCST.2020.3005602
ISSN: 1063-6536
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 1750
End Page: 1757
Journal / Book Title: IEEE Transactions on Control Systems Technology
Volume: 29
Issue: 4
Copyright Statement: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Industrial Engineering & Automation
0102 Applied Mathematics
0906 Electrical and Electronic Engineering
Publication Status: Published
Online Publication Date: 2021-07-17
Appears in Collections:Aeronautics
Faculty of Engineering