Multi-agent Collision Avoidance Using Interval Analysis and Symbolic Modelling with its Application to the Novel Polycopter

Douthwaite, James Alexander (2019) Multi-agent Collision Avoidance Using Interval Analysis and Symbolic Modelling with its Application to the Novel Polycopter. PhD thesis, University of Sheffield.

Abstract

Metadata

Keywords: Polycopter, Symbolic Modelling, Interval avoidance, OpenMAS, UAV Modelling and Control, Morphing Aerial Systems, Collision Avoidance, Air-traffic Control, Multi-agent systems, Control Systems, UAV, UAS, Drone, Monte Carlo Analysis
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.804586
Depositing User: Dr James Alexander Douthwaite
Date Deposited: 27 Apr 2020 11:08
Last Modified: 01 Jun 2020 09:53

Download

The Ph.D thesis of James A. Douthwaite- Multi-agent Collision Avoidance Using Interval Analysis and Symbolic Modelling with its Application to the Novel Polycopter

Filename: 2020-04-01-white-rose-thesis-submission-JD.pdf

Description: The Ph.D thesis of James A. Douthwaite- Multi-agent Collision Avoidance Using Interval Analysis and Symbolic Modelling with its Application to the Novel Polycopter

Licence: Creative Commons Attribution (UK)

Share / Export


You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.