Title :
Bias reduction in DAE estimators by model augmentation: Observability analysis and experimental evaluation
Author :
Höckerdal, Erik ; Frisk, Erik ; Eriksson, Lars
Author_Institution :
Department of Electrical Engineering, Linköping University, 581 83, Sweden
Abstract :
A method for bias compensation in model based estimation utilizing model augmentation is developed. Based on a default model, that suffers from stationary errors, and measurements from the system a low order augmentation is estimated. The method handles models described by differential algebraic equations and the main contributions are necessary and sufficient conditions for the preservation of the observability properties of the default model during the augmentation.
Keywords :
Computational modeling; Estimation error; Manifolds; Mathematical model; Observability; Observers;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6160697
