Recursive prediction error identification of fractional order models
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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
This paper deals with time domain identification of fractional order systems. A new identification
technique is developed providing recursive parameters estimation of fractional
order models. The identification model is defined by a generalized ARX structure obtained
by discretization of a continuous fractional order differential equation. The parameters are
then estimated using the recursive least squares and the recursive instrumental variable
algorithms extended to fractional order cases. Finally, the quality of the proposed technic
is illustrated and compared through the identification of simulated fractional order
systems.
Description
Keywords
Recursive identification, Prediction error, Fractional order systems, Least squares method