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Identification of general time-varying systems

Hu, Han


This thesis investigates the identification of general time-variant systems using Hilbert-Huang transform (HHT) and Bayesian inference. An HHT-based method is extended for general time variant systems. It is then combined with a Bayesian inference based method to obtain the distributions of system parameters. Another Bayesian inference based method is proposed using intrinsic mode functions to formulate the likelihood function. Numerical simulation results demonstrate the proposed methods.

Volltext §
DOI: 10.5445/IR/1000065812
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Mechanik (ITM)
Publikationstyp Hochschulschrift
Publikationsjahr 2017
Sprache Englisch
Identifikator urn:nbn:de:swb:90-658120
KITopen-ID: 1000065812
Verlag Karlsruher Institut für Technologie (KIT)
Umfang XXX, 201 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Maschinenbau (MACH)
Institut Institut für Technische Mechanik (ITM)
Prüfungsdatum 08.02.2017
Schlagwörter Linear time-varying systems, weakly nonlinear time-varying systems, Hilbert-Huang transform, empirical mode decomposition, intrinsic mode function, Bayesian model updating and model class selection
Referent/Betreuer Proppe, C.
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