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  5. A hybrid controller for multi-agent collision avoidance via a differential game formulation
 
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A hybrid controller for multi-agent collision avoidance via a differential game formulation
File(s)
FINAL VERSION.pdf (633.08 KB)
Accepted version
Author(s)
Cappello, Domenico
Garcin, Samuel
Mao, Ziyuan
Sassano, Mario
Paranjape, Aditya
more
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.
Date Issued
2021-07-01
Date Acceptance
2020-06-22
Citation
IEEE Transactions on Control Systems Technology, 2021, 29 (4), pp.1750-1757
URI
http://hdl.handle.net/10044/1/81127
DOI
https://www.dx.doi.org/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.
Subjects
Industrial Engineering & Automation
0102 Applied Mathematics
0906 Electrical and Electronic Engineering
Publication Status
Published
Date Publish Online
2021-07-17
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