Logical Inference Framework for Experimental Design of Mechanical Characterization Procedures

Logical Inference Framework for Experimental Design of Mechanical Characterization Procedures

Optimizing an experimental design is a complex task when a model is required for indirect reconstruction of physical parameters from the sensor readings. In this work, a formulation is proposed to unify the probabilistic reconstruction of mechanical parameters and an optimization problem. An informa...

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Bibliographic Details
Main Authors: Guillermo Rus, Juan Melchor
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
inverse problem
inference Bayesian updating
model-class selection
stochastic inverse problem
probability logic
experimental design
Online Access:http://www.mdpi.com/1424-8220/18/9/2984

Internet

http://www.mdpi.com/1424-8220/18/9/2984

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