An optimization approach to the multi-player pursuit-evasion problem

In this paper a scenario of one evader being chased by multiple pursuers in two specific simulation environments is studied. The simulation environments are divided into an open area without obstacles and a closed area with obstacles. In the open area a fairly accurate system of dynamics are impleme...

Full description

Bibliographic Details
Main Authors: Jiao, Yue, Skvortsov, Ivan
Format: Others
Language:English
Published: KTH, Skolan för teknikvetenskap (SCI) 2017
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210825
id ndltd-UPSALLA1-oai-DiVA.org-kth-210825
record_format oai_dc
spelling ndltd-UPSALLA1-oai-DiVA.org-kth-2108252019-09-14T04:31:20ZAn optimization approach to the multi-player pursuit-evasion problemengJiao, YueSkvortsov, IvanKTH, Skolan för teknikvetenskap (SCI)KTH, Skolan för teknikvetenskap (SCI)2017Engineering and TechnologyTeknik och teknologierIn this paper a scenario of one evader being chased by multiple pursuers in two specific simulation environments is studied. The simulation environments are divided into an open area without obstacles and a closed area with obstacles. In the open area a fairly accurate system of dynamics are implemented for both pursuers and evader. The Virtual Vehicle Approach is used to provide a reference trajectory for the pursuers to follow in order to catch the evader. The main purpose of this thesis is to find a decentralized robust control method for the dynamics of the pursuers. In the closed area, the line of sight and field of view are introduced and the solution to the Minimum time UGV surveillance problem and the Centroidal Voronoi partitions. Different capturing strategies, encirclement and one-on-one chase, are both studied and compared. The numerical implementation and the resulting simulation are presented and analyzed. Conclusion on the optimal formation for the multiple pursuers is made. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210825application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Engineering and Technology
Teknik och teknologier
spellingShingle Engineering and Technology
Teknik och teknologier
Jiao, Yue
Skvortsov, Ivan
An optimization approach to the multi-player pursuit-evasion problem
description In this paper a scenario of one evader being chased by multiple pursuers in two specific simulation environments is studied. The simulation environments are divided into an open area without obstacles and a closed area with obstacles. In the open area a fairly accurate system of dynamics are implemented for both pursuers and evader. The Virtual Vehicle Approach is used to provide a reference trajectory for the pursuers to follow in order to catch the evader. The main purpose of this thesis is to find a decentralized robust control method for the dynamics of the pursuers. In the closed area, the line of sight and field of view are introduced and the solution to the Minimum time UGV surveillance problem and the Centroidal Voronoi partitions. Different capturing strategies, encirclement and one-on-one chase, are both studied and compared. The numerical implementation and the resulting simulation are presented and analyzed. Conclusion on the optimal formation for the multiple pursuers is made.
author Jiao, Yue
Skvortsov, Ivan
author_facet Jiao, Yue
Skvortsov, Ivan
author_sort Jiao, Yue
title An optimization approach to the multi-player pursuit-evasion problem
title_short An optimization approach to the multi-player pursuit-evasion problem
title_full An optimization approach to the multi-player pursuit-evasion problem
title_fullStr An optimization approach to the multi-player pursuit-evasion problem
title_full_unstemmed An optimization approach to the multi-player pursuit-evasion problem
title_sort optimization approach to the multi-player pursuit-evasion problem
publisher KTH, Skolan för teknikvetenskap (SCI)
publishDate 2017
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210825
work_keys_str_mv AT jiaoyue anoptimizationapproachtothemultiplayerpursuitevasionproblem
AT skvortsovivan anoptimizationapproachtothemultiplayerpursuitevasionproblem
AT jiaoyue optimizationapproachtothemultiplayerpursuitevasionproblem
AT skvortsovivan optimizationapproachtothemultiplayerpursuitevasionproblem
_version_ 1719250615307075584