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Optimal sensor placement for paramet...

Green, Kary.

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Optimal sensor placement for parameter identification.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimal sensor placement for parameter identification./
作者:	Green, Kary.
面頁冊數:	55 p.
附註:	Adviser: Matthias Heinkenschloss.
Contained By:	Masters Abstracts International45-04.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1441820

Optimal sensor placement for parameter identification.
Green, Kary.

Optimal sensor placement for parameter identification. - 55 p.

Adviser: Matthias Heinkenschloss.

Thesis (M.A.)--Rice University, 2007.

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.Subjects--Topical Terms:

1018128
Engineering, System Science.

Optimal sensor placement for parameter identification.
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500 $a Source: Masters Abstracts International, Volume: 45-04, page: 1980.
502 $a Thesis (M.A.)--Rice University, 2007.
520 $a 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.
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650 4 $a Mathematics. $3 515831
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