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On the accuracy of parameter estimation for continuous time nonlinear systems from sampled data

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4 Author(s)
Carrasco, D.S. ; Priority Res. Centre for Complex Dynamic Syst. & Control, Univ. of Newcastle, Newcastle, NSW, Australia ; Ljung, L. ; Goodwin, G.C. ; Aguero, J.C.

This paper deals with the issue of estimating the parameters in a continuous-time nonlinear dynamical model from sampled data. We focus on the issue of bias-variance trade-offs. In particular, we show that the bias error can be significantly reduced by using a particular form of sampled data model based on truncated Taylor series. This model retains the conceptual simplicity of models based on Euler integration but has much improved accuracy as a function of the sampled period.

Published in:

Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on

Date of Conference:

12-15 Dec. 2011