Title :
Influence of discretization errors on set-based parameter estimation
Author :
Rumschinski, Philipp ; Shona-Laila, Dina ; Borchers, Steffen ; Findeis, Rolf
Author_Institution :
Inst. for Autom. Eng., Otto-von-Guericke Univ. Magdeburg, Magdeburg, Germany
Abstract :
In this paper we investigate the relationship between parameter estimates obtained for a nonlinear discrete-time (DT) approximation of a continuous-time (CT) nonlinear model and the parameters corresponding to the CT model itself. Preliminary results based on a set-based parameter estimation approach are proposed. The focus is thereby directed on formalizing the problem of ensuring that the set of consistent parameters of the CT model are also related to the consistent parameters of the DT model. Therefore, we propose two approaches to handle this problem. The first is based on a direct treatment of the discretization error, while the other is based on a differential geometric relationship of Euler discretization and the CT model. Two examples, one academic example and another one applying the proposed results to a well-known biological process, namely the Michaelis-Menten (MM) reaction, are presented to illustrate the usefulness of the results.
Keywords :
approximation theory; discrete time systems; nonlinear control systems; parameter estimation; CT model; Euler discretization; Michaelis-Menten reaction; biological process; continuous-time nonlinear model; differential geometric relationship; direct treatment; discretization errors; nonlinear discrete-time approximation; set based parameter estimation; set-based parameter estimation; Approximation methods; Biological system modeling; Data models; Lead; Mathematical model; Numerical models; Parameter estimation;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5717519