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dc.contributor.advisorChiou, Dereken
dc.contributor.advisorMok, Aloysiusen
dc.creatorLauzon, Thomas Charlesen
dc.date.accessioned2010-08-18T21:36:58Zen
dc.date.accessioned2010-08-18T21:37:06Zen
dc.date.available2010-08-18T21:36:58Zen
dc.date.available2010-08-18T21:37:06Zen
dc.date.issued2009-12en
dc.date.submittedDecember 2009en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2009-12-547en
dc.descriptiontexten
dc.description.abstractCyber-Physical Systems theory is a new concept that is about to revolutionize the way computers interact with the physical world by integrating physical knowledge into the computing systems and tailoring such computing systems in a way that is more compatible with the way processes happen in the physical world. In this master’s thesis, Field Programmable Gate Arrays (FPGA) are studied as a potential technological asset that may contribute to the enablement of the Cyber-Physical paradigm. As an example application that may benefit from cyber-physical system support, the Electro-Slag Remelting process - a process for remelting metals into better alloys - has been chosen due to the maturity of its related physical models and controller designs. In particular, the Particle Filter that estimates the state of the process is studied as a candidate for FPGA-based computing enhancements. In comparison with CPUs, through the designs and experiments carried in relationship with this study, the FPGA reveals itself as a serious contender in the arsenal of v computing means for Cyber-Physical Systems, due to its capacity to mimic the ubiquitous parallelism of physical processes.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectCyber-physical systemsen
dc.subjectParticle filteren
dc.subjectElectro-slag remeltingen
dc.subjectFPGAen
dc.subjectCPUen
dc.subjectSequential Monte-Carlo methodsen
dc.subjectPipeliningen
dc.subjectBluespec.en
dc.titleSuitability of FPGA-based computing for cyber-physical systemsen
dc.date.updated2010-08-18T21:37:06Zen
dc.description.departmentElectrical and Computer Engineering
dc.type.genrethesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen


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