Bayesian Input Design for Linear Dynamical Model Discrimination
A Bayesian design of the input signal for linear dynamical model discrimination has been proposed. The discrimination task is formulated as an estimation problem, where the estimated parameter indexes particular models. As the mutual information between the parameter and model output is difficult to...
Main Author: | Piotr Bania |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/4/351 |
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