In this section
@article{Mylvaganam:2017:10.1109/TAC.2017.2680602,
author = {Mylvaganam, T and Sassano, M and Astolfi, A},
doi = {10.1109/TAC.2017.2680602},
journal = {IEEE Transactions on Automatic Control},
pages = {4229--4235},
title = {A differential game approach to multi-agent collision avoidance},
url = {http://dx.doi.org/10.1109/TAC.2017.2680602},
volume = {62},
year = {2017}
}
TY - JOUR
AB - A multi-agent system consisting of N agents is considered. The problem of steering each agent from its initial position to a desired goal while avoiding collisions with obstacles and other agents is studied. This problem, referred to as the multi-agent collision avoidance problem, is formulated as a differential game. Dynamic feedback strategies that approximate the feedback Nash equilibrium solutions of the differential game are constructed and it is shown that, provided certain assumptions are satisfied, these guarantee that the agents reach their targets while avoiding collisions.
AU - Mylvaganam,T
AU - Sassano,M
AU - Astolfi,A
DO - 10.1109/TAC.2017.2680602
EP - 4235
PY - 2017///
SN - 0018-9286
SP - 4229
TI - A differential game approach to multi-agent collision avoidance
T2 - IEEE Transactions on Automatic Control
UR - http://dx.doi.org/10.1109/TAC.2017.2680602
UR - https://ieeexplore.ieee.org/document/7909033
UR - http://hdl.handle.net/10044/1/45417
VL - 62
ER -