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dc.contributor.advisorFierro, Rafael O.
dc.contributor.authorBranca, Carlo
dc.date.accessioned2014-04-17T20:08:19Z
dc.date.available2014-04-17T20:08:19Z
dc.date.issued2005-12-01
dc.identifier.urihttps://hdl.handle.net/11244/10187
dc.description.abstractThis research presents a control algorithm for the cooperative control of unmanned mobile robots. The algorithm relies on continuously solving an open loop mixed integer linear programming optimization problem. Since the model can become quite complex when the number of robots and the complexity of the environment increase, computational problems can arise. To overcome these problems an approach involving a hierarchical decentralized formulation of the optimization problem is proposed.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleHierarchical Optimization Approach for Cooperative Vehicle Networks
dc.typetext
dc.contributor.committeeMemberLatino, Carl
dc.contributor.committeeMemberOliveria, Carlos
osu.filenameBranca_okstate_0664M_1652.pdf
osu.collegeEngineering, Architecture, and Technology
osu.accesstypeOpen Access
dc.description.departmentSchool of Electrical & Computer Engineering
dc.type.genreThesis
dc.subject.keywordscooperative control of unmanned mobile robots
dc.subject.keywordsoptimization
dc.subject.keywordsmodel predictive control
dc.subject.keywordsmixed integer linear programming


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