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dc.contributor.advisorChung, Timothy H.
dc.contributor.authorGaerther, Uwe
dc.dateJun-13
dc.date.accessioned2013-08-01T16:51:36Z
dc.date.available2013-08-01T16:51:36Z
dc.date.issued2013-06
dc.identifier.urihttp://hdl.handle.net/10945/34665
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThe rapid increase in the use of unmanned aerial vehicles (UAVs) in recent decades lead to their potential use as saturation or swarm threats to Allied Forces. One possible counter measure is the design and deployment of a defensive UAV swarm. This thesis identifies a future concept of swarm-versus-swarm UAV combat, focusing on the implications of swarm tactics and identifies important factors for such engagements. This work provides initial key insights through significant modeling, simulation, and analysis. The contributions of the presented work include the design of an agent-based simulation and the formulation of an associated analytical model. The agent-based simulation allows for the UAV to be modeled as an agent that follows a simple rule set, which is responsible for the emergent swarm behavior relevant to defining swarm tactics. A two-level Markov process is developed to model the air-to-air engagements, where the first level focuses on one-on-one combat while the second level incorporates the results from the first and explores multi-UAV engagements. Tactical insights obtained from this study can be contrasted with tactics for manned air combat, which highlights the potential need to develop new tactics for unmanned combat aviation as well as for swarm scenarios. Additional analysis performed in this thesis provides further tactical recommendations and outlines multiple avenues of future study.en_US
dc.description.urihttp://archive.org/details/uavswarmtacticsn1094534665
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleUAV swarm tactics: an agent-based simulation and Markov process analysisen_US
dc.contributor.secondreaderAtkinson, Michael
dc.contributor.departmentOperations Research
dc.subject.authorN/Aen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceCaptain, German Armyen_US
etd.thesisdegree.nameMaster of Scienceen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US


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