Model Reduction for Dynamic Sensor Steering: A Bayesian Approach to Inverse Problems

Model Reduction for Dynamic Sensor Steering: A Bayesian Approach to Inverse Problems

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In many settings, distributed sensors provide dynamic measurements over a specified time horizon that can be used to reconstruct information such as parameters, states or initial conditions. This estimation task can be posed formally as an inverse problem: given a model and a set of measurements, es...

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Bibliographic Details
Main Author:	Wogrin, Sonja
Format:	Technical Report
Language:	en_US
Published:	Aerospace Computational Design Laboratory, Dept. of Aeronautics & Astronautics, Massachusetts Institute of Technology 2010
Online Access:	http://hdl.handle.net/1721.1/57592

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