Title:
Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles

dc.contributor.advisor Vachtsevanos, George J.
dc.contributor.author Reimann, Johan Michael en_US
dc.contributor.committeeMember Egerstedt, Magnus
dc.contributor.committeeMember Papapolymerou, Ioannis
dc.contributor.committeeMember Prasad, J.V.R
dc.contributor.committeeMember Verriest, Erik
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2007-08-16T17:41:42Z
dc.date.available 2007-08-16T17:41:42Z
dc.date.issued 2007-05-16 en_US
dc.description.abstract In recent years, Unmanned Aerial Vehicles (UAVs) have been used extensively in military conflict situations to execute intelligence, surveillance and reconnaissance missions. However, most of the current UAV platforms have limited collaborative capabilities, and consequently they must be controlled individually by operators on the ground. The purpose of the research presented in this thesis is to derive algorithms that can enable multiple UAVs to reason about the movements of multiple ground targets and autonomously coordinate their efforts in real-time to ensure that the targets do not escape. By improving the autonomy of multivehicle systems, the workload placed on the command and control operators is reduced significantly. To derive effective adversarial control algorithms, the adversarial scenario is modeled as a multiplayer differential game. However, due to the inherent computational complexity of multiplayer differential games, three less computationally demanding differential pursuit-evasion game-based algorithms are presented. The purpose of the algorithms is to quickly derive interception strategies for a team of autonomous vehicles. The algorithms are applicable to scenarios with different base assumptions, that is, the three algorithms are meant to complement one another by addressing different types of adversarial problems. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/16151
dc.publisher Georgia Institute of Technology en_US
dc.subject Differential games en_US
dc.subject Adversarial reasoning en_US
dc.subject Optimal control en_US
dc.subject.lcsh Differential games en_US
dc.subject.lcsh Drone aircraft en_US
dc.subject.lcsh Airplanes Automatic control en_US
dc.subject.lcsh Airplanes Control systems en_US
dc.subject.lcsh Algorithms en_US
dc.title Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Vachtsevanos, George J.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 44a9325c-ad69-4032-a116-fd5987b92d56
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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