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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Vydané v:	Mechanical systems and signal processing Ročník 126; s. 711 - 746
Hlavní autori:	Dertimanis, V.K., Chatzi, E.N., Eftekhar Azam, S., Papadimitriou, C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin Elsevier Ltd 01.07.2019 Elsevier BV
Predmet:	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
On-line prístup:	Získať plný text
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