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dc.contributor.authorBiltgen, Patrick Thomas
dc.contributor.authorEnder, Tommer Rafael
dc.contributor.authorMavris, Dimitri N.
dc.date.accessioned2008-10-14T20:06:48Z
dc.date.available2008-10-14T20:06:48Z
dc.date.issued2006-01
dc.identifier.urihttp://hdl.handle.net/1853/25168
dc.descriptionPresented at the 44th AIAA Aerospace Sciences Meeting and Exhibit 9 - 12 January 2006, Reno, Nevada.en
dc.description.abstractThe design of complex systems in the presence of changing requirements, rapidly evolving technologies, and design uncertainty continues to be a challenge. Furthermore, the design of future platforms must take into account the interoperability of a variety of heterogeneous systems and their role in a larger "system-of-systems." To date, methodologies to address the complex interactions and optimize the system at the macro-level have lacked a clear direction and structure and have largely been conducted in an ad-hoc fashion. Traditional optimization has centered around individual vehicles with little regard for the impact on the overall system. A key enabler for reduced cost and cycle time is the ability to rapidly analyze technologies and perform trade studies using a capability-based approach. While many entities have expressed a desire to perform capability-based design, the need for a structured discipline exists. This research will examine how collaboration for the design of such systems-of-systems can be enabled through the use of surrogate models and will demonstrate a top-down analysis methodology for the evaluation of systems and technologies with respect to desired capabilities. A technique for inverse design where any variable can be treated as an independent variable is made routine through the structured use of surrogate models and probability theory. For the testbed demonstration, a depoliticized, notional scenario was postulated to develop a testbed environment in which humanitarian aid and supplies must be delivered to forward-deployed troops for dispersal in a host country under fire.en
dc.language.isoen_USen
dc.publisherGeorgia Institute of Technologyen
dc.relation.ispartofseriesASDL; AIAA 2006-728en
dc.subjectSurrogate modelsen
dc.subjectCollaborative design
dc.subjectNeural networks
dc.subjectFlight vehicles
dc.subjectDesign engineering
dc.subjectComplex systems
dc.subjectInverse design
dc.subjectProbability theory
dc.subjectIndependent variables
dc.subjectDesign optimization
dc.subjectMilitary technology
dc.subjectUncertainty analysis
dc.subjectMilitary operations
dc.subjectInteroperability
dc.subjectTest equipment
dc.titleDevelopment of a Collaborative Capability-Based Tradeoff Environment for Complex System Architecturesen
dc.typePaperen
dc.contributor.corporatenameGeorgia Institute of Technology. Aerospace Systems Design Laboratory


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