Iterative estimators of parameters in linear models with partially variant coefficients

Hu, Shaolin; Meinke, Karl; Chen, Rushan; Huajiang, Ouyang

AMCS, Volume 23 (2013)

Nonlinear state observers and extended Kalman filters for battery systems

Rauh, Andreas Butt, Saif S. Aschemann, Harald Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.

2013

artykuł

AMCS, Volume 15 (2005)

Identifiability and estimation of pharmacokinetic parameters for the ligands of the macrophagemannose receptor

Verdiere, Nathalie Denis-Vidal, Lilianne Joly-Blanchard, Ghislaine Domurado, Dominique Beliczyński, Bartłomiej - red.

2005

artykuł

AMCS, volume 11 (2001)

Identification of a quasilinear parabolic equation from final data

Fernández, Luis A. Pola, Cecilia Triggiani, Roberto- ed. Maksimov, Vyacheslav I. - ed.

2001

artykuł

AMCS, Volume 21 (2011)

Modeling of reliability characteristics typically assumes that components and systems fail if a certain individual damagelevel is exceeded. Every (mechanical) system damage increases irreversibly due to employed loading and (mechanical)stress, respectively. The main issue of damage estimation is adequate determination of the actual state-of-damage. Severalmathematical modeling approaches are known in the literature, focusing on the task of how loading effects damageprogression (e.g., W¨ohler, 1870) for wear processes. Those models are only valid for specific loading conditions, a prioriassumptions, set points, etc. This contribution proposes a general model, covering adequately the deterioration of a setof comparable systems under comparable loading. The main goal of this contribution is to derive the loading?damageconnection directly from observation without assuming any damage models at the outset. Moreover, the connection is notinvestigated in detail (e.g., to examine the changes in material, etc.) but only approximated with a probabilistic approach.The idea is subdivided into two phases: A problem-specific relation between loading applied (to a structure, which contributesto the stress) and failure is derived from simulation, where a probabilistic approach only assumes a distributionfunction. Subsequently, an adequate general model is set up to describe deterioration progression. The scheme will beshown through simulation-based results and can be used for estimation of the remaining useful life and predictive maintenance/control.Keywords: reliability, parameter estimation, damage accumulation, probabilistic simulation.

Dettmann, Kai-Uwe Söffker, Dirk Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.

2011

artykuł

AMCS, Volume 20 (2010)

Planning identification experiments for cell signaling pathways: an NF[kappa]B case study

Fujarewicz, Krzysztof Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.

2010

artykuł

AMCS, Volume 20 (2010)

Sensor network design for the estimation of spatially distributed processes

Uciński, Dariusz Patan, Maciej (1975- ) Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.

2010

artykuł

AMCS, volume 9 (1999)

Parameter estimation based fault detection and isolation in Wiener and Hammerstein systems

Janczak, Andrzej Korbicz, Józef (1951- ) - red. Patton, Ronald J. - red.

1999

artykuł

AMCS, Volume 22 (2012)

Distributed scheduling of sensor networks for identification of spatio-temporal processes

Patan, Maciej (1975- ) Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.

2012

artykuł

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