Input-state-parameter estimation of structural systems from limited output information

•A novel Bayesian observer that recombines the dual and unscented Kalman filters is proposed for addressing the joint input-state-parameter estimation problem.•The dual observer is designed on realistic assumptions on instrumentation capacity and structural uncertainty.•The stability and observabili...

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Bibliographic Details
Published in:	Mechanical systems and signal processing Vol. 126; pp. 711 - 746
Main Authors:	Dertimanis, V.K., Chatzi, E.N., Eftekhar Azam, S., Papadimitriou, C.
Format:	Journal Article
Language:	English
Published:	Berlin Elsevier Ltd 01.07.2019 Elsevier BV
Subjects:	Bayesian analysis Dual Kalman filter Estimating techniques Excitation Input-state-parameter estimation Kalman filters Mathematical analysis Matrix methods Parameter estimation Redundancy Uncertainty Unscented Kalman filter Input-state-parameter estimation Uncertainty Dual Kalman filter Unscented Kalman filter
ISSN:	0888-3270, 1096-1216
Online Access:	Get full text
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