Sequential Bayesian estimation of state and input in dynamical systems using output-only measurements

•A sequential Bayesian method is proposed for estimating the state and input forces.•Covariance matrices of the process and measurement noise are updated sequentially.•Estimations of the state and input have decent accuracy and stability.•Low-frequency drift appearing in estimations of the input and...

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Veröffentlicht in:	Mechanical systems and signal processing 2019-09, Vol.131, p.659-688
Hauptverfasser:	Sedehi, Omid, Papadimitriou, Costas, Teymouri, Daniz, Katafygiotis, Lambros S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Algorithms Asymptotic methods Bayesian analysis Bayesian filters Covariance matrix Drift Dynamical systems Formulations Input-state estimation Linear structures Noise measurement Normal distribution Output-only measurements Production methods Real time Real-time methods
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