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dc.contributor.advisor Heinkenschloss, Matthias
dc.creatorGreen, Kary
dc.date.accessioned 2009-06-03T21:06:45Z
dc.date.available 2009-06-03T21:06:45Z
dc.date.issued 2007
dc.identifier.urihttps://hdl.handle.net/1911/20506
dc.description.abstract This thesis surveys methods for determining sensor locations which maximize the achievable accuracy in parameter estimation of differential equations. The approach considers the placement of sensors as an experimental design problem. The optimal sensor locations are found based on the so-called Fisher Information Matrix. After illustration of the general methodology, a particular algorithm is presented which finds optimal weights associated with a given set of potential sensor locations. Numerical results are provided to show that improvements in the accuracy of parameter estimates can be achieved using the ideas reviewed in this thesis.
dc.format.extent 55 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectMathematics
Statistics
System science
dc.title Optimal sensor placement for parameter identification
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Statistics
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Arts
dc.identifier.citation Green, Kary. "Optimal sensor placement for parameter identification." (2007) Master’s Thesis, Rice University. https://hdl.handle.net/1911/20506.


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