On Joint State Estimation and Model Learning using Gaussian Process Approximations

Techniques for state estimation is a cornerstone of essentially every sector of science and engineering, ranging from aeronautics and automotive engineering to economics and medical science. Common to state estimation methods, is the specification of a mathematical model of the underlying system in...

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Bibliographic Details
Main Author: Kullberg, Anton
Format: Others
Language:English
Published: Linköpings universitet, Reglerteknik 2021
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181175
http://nbn-resolving.de/urn:isbn:9789179291419
http://nbn-resolving.de/urn:isbn:9789179291426