Show simple item record

dc.contributor.advisorFeniosky Peña-Mora.en_US
dc.contributor.authorCraig, Mathias J. (Mathias Julien), 1978-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.en_US
dc.date.accessioned2006-03-24T16:02:52Z
dc.date.available2006-03-24T16:02:52Z
dc.date.copyright2003en_US
dc.date.issued2003en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/29566
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003.en_US
dc.descriptionIncludes bibliographical references (p. 137-141).en_US
dc.description.abstractConsiderable research has focused on the development of single, autonomous vehicles - vehicles that are able to sustain themselves and achieve specific objectives, but that generally lack the ability to autonomously coordinate with other vehicles. As this research evolves into operational systems, a key challenge is to develop autonomous vehicles that can self-organize in order to collectively address a set of goals that could not be achieved by any one individual. This thesis develops a framework for an operational system called Autonomous Distributed Operations (ADO) and presents a design for self-organization within this framework. Self-organization is shown as an integration of five activities that include goal evaluation and adoption, organizational strategizing, goal decomposition and aggregation, organizational design, and finally, organization adoption. A detailed implementation of the fourth component - organizational design - is presented. A four-phase systems engineering methodology is developed for designing organizations by sequentially optimizing along multiple dimensions, which include boundary, size, structure, and membership. Algorithms that yield optimal solutions for each phase of the design methodology exist, but are not suitable for realistic scenarios, which are often characterized by large state spaces. Therefore, the design methodology is implemented using heuristic algorithms that trade optimality for problem tractability. Results of the design process are presented using a variety of goals and scenarios as inputs. The scenarios are intended to reflect situations commonly encountered in Military Operations in Urban Terrain.en_US
dc.description.statementofresponsibilityby Mathias J. Craig.en_US
dc.format.extent141 p.en_US
dc.format.extent5748290 bytes
dc.format.extent5748096 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectCivil and Environmental Engineering.en_US
dc.titleA design for dynamic self-organization in autonomous distributed operationsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc52725261en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record