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Contributions To Pursuit-Evasion Game Theory.

dc.contributor.authorOyler, Dave Wilson
dc.date.accessioned2016-06-10T19:29:56Z
dc.date.availableNO_RESTRICTION
dc.date.available2016-06-10T19:29:56Z
dc.date.issued2016
dc.date.submitted
dc.identifier.urihttps://hdl.handle.net/2027.42/120650
dc.description.abstractThis dissertation studies adversarial conflicts among a group of agents moving in the plane, possibly among obstacles, where some agents are pursuers and others are evaders. The goal of the pursuers is to capture the evaders, where capture requires a pursuer to be either co-located with an evader, or in close proximity. The goal of the evaders is to avoid capture. These scenarios, where different groups compete to accomplish conflicting goals, are referred to as pursuit-evasion games, and the agents are called players. Games featuring one pursuer and one evader are analyzed using dominance, where a point in the plane is said to be dominated by a player if that player is able to reach the point before the opposing players, regardless of the opposing players' actions. Two generalizations of the Apollonius circle are provided. One solves games with environments containing obstacles, and the other provides an alternative solution method for the Homicidal Chauffeur game. Optimal pursuit and evasion strategies based on dominance are provided. One benefit of dominance analysis is that it extends to games with many players. Two foundational games are studied; one features multiple pursuers against a single evader, and the other features a single pursuer against multiple evaders. Both are solved using dominance through a reduction to single pursuer, single evader games. Another game featuring competing teams of pursuers is introduced, where an evader cooperates with friendly pursuers to rendezvous before being captured by adversaries. Next, the assumption of complete and perfect information is relaxed, and uncertainties in player speeds, player positions, obstacle locations, and cost functions are studied. The sensitivity of the dominance boundary to perturbations in parameters is provided, and probabilistic dominance is introduced. The effect of information is studied by comparing solutions of games with perfect information to games with uncertainty. Finally, a pursuit law is developed that requires minimal information and highlights a limitation of dominance regions. These contributions extend pursuit-evasion game theory to a number of games that have not previously been solved, and in some cases, the solutions presented are more amenable to implementation than previous methods.
dc.language.isoen_US
dc.subjectPursuit-Evasion Games
dc.subjectAdversarial Games
dc.subjectDominance Regions
dc.subjectMulti-Agent Systems
dc.subjectAutonomous Mobile Robotics
dc.subjectHoming Guidance
dc.titleContributions To Pursuit-Evasion Game Theory.
dc.typeThesisen_US
dc.description.thesisdegreenamePhD
dc.description.thesisdegreedisciplineAerospace Engineering
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.contributor.committeememberGirard, Anouck Renee
dc.contributor.committeememberBloch, Anthony M
dc.contributor.committeememberKabamba, Pierre Tshimanga
dc.contributor.committeememberInman, Daniel J
dc.contributor.committeememberKolmanovsky, Ilya Vladimir
dc.subject.hlbsecondlevelAerospace Engineering
dc.subject.hlbsecondlevelEngineering (General)
dc.subject.hlbtoplevelEngineering
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/120650/1/dwoyler_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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