TY  - JOUR
A1  - Sitz, Andre
A1  - Schwarz, Udo
A1  - Kurths, Jürgen
T1  - The unscented Kalman filter : a powerful tool for data analysis
Y1  - 2004
ER  - 
TY  - JOUR
A1  - Sitz, Andre
A1  - Schwarz, Udo
A1  - Kurths, Jürgen
A1  - Maus, Doris
A1  - Wiese, Michael
A1  - Warnecke, Günter
T1  - Signatures of acoustic emission signals generated during high speed cutting
N2  - Acoustic emission signals generated during high speed cutting of steel are investigated. The data are represen ted in time-folded form. Several methods from linear and nonlinear data analysis based on time- and frequency- domain are applied to the data and reveal signatures of the observed acoustic emission signal. These investiga tions are necessary for modeling the cutting process by means of differential equations.
Y1  - 2001
UR  - http://www.agnld.uni-potsdam.de/~shw/Paper/21618.pdf
ER  - 
TY  - THES
A1  - Sitz, Andre
T1  - Filterung nichtlinearer dynamischer Systeme unter Verwendung von Zustandsraummodellen
Y1  - 2003
ER  - 
TY  - JOUR
A1  - Sitz, Andre
A1  - Schwarz, Udo
A1  - Kurths, Jürgen
A1  - Voss, Henning U.
T1  - Estimation of parameters and unobserved components for nonlinear systems from noisy time series
N2  - We study the problem of simultaneous estimation of parameters and unobserved states from noisy data of nonlinear time-continuous systems, including the case of additive stochastic forcing. We propose a solution by adapting the recently developed statistical method of unscented Kalman filtering to this problem. Due to its recursive and derivative-free structure, this method minimizes the cost function in a computationally efficient and robust way. It is found that parameters as well as unobserved components can be estimated with high accuracy, including confidence bands, from heavily noise-corrupted data.
Y1  - 2002
UR  - http://pre.aps.org/
ER  -