Bauso, D., Giarré, L. and Pesenti, R. (2004) Multiple UAV cooperative path planning via neuro-dynamic programming. In: Proceedings of the IEEE Conference on Decision and Control. 43rd IEEE Conference on Decision and Control, December 14-17, 2004, Paradise Island, Bahamas. , 1087 - 1092. ISBN 0780386825
Abstract
In this paper, a team of n Unmanned Air-Vehicles (UAVs) in cooperative path planning is given the task of reaching the assigned target while i) avoiding threat zones ii) synchronizing minimum time arrivals on the target, and iii) ensuring arrivals coming from different directions. We highlight three main contributions. First we develop a novel hybrid model and suit it to the problem at hand. Second, we design consensus protocols for the management of information. Third, we synthesize local predictive controllers through a distributed, scalable and suboptimal neuro-dynamic programming (NDP) algorithm.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2004 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Jan 2016 10:50 |
Last Modified: | 29 Jan 2016 10:50 |
Published Version: | http://dx.doi.org/10.1109/CDC.2004.1428837 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/CDC.2004.1428837 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:89777 |