Long-memory recursive prediction error method for identification of continuous-time fractional models

This paper deals with recursive continuous-time system identification using fractional-order models. Long-memory recursive prediction error method is proposed for recursive estimation of all parameters of fractional-order models. When differentiation orders are assumed known, least squares and predi...

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Bibliographic Details
Published in:	Nonlinear dynamics Vol. 110; no. 1; pp. 635 - 648
Main Authors:	Victor, Stéphane, Duhé, Jean-François, Melchior, Pierre, Abdelmounen, Youssef, Roubertie, François
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.09.2022 Springer Nature B.V Springer Verlag
Subjects:	Algorithms Approximation Automotive Engineering Classical Mechanics Computer simulation Continuous time systems Control Differentiation Dynamical Systems Engineering Engineering Sciences Errors Identification Lungs Mathematical models Mechanical Engineering Original Paper Parameter estimation Parameters Regularization methods System identification Vibration Prediction error method Fractional-order model Least squares Real-time system identification Recursive identification System identification Long-memory prediction error method Continuous-time models Fractional calculus
ISSN:	0924-090X, 1573-269X
Online Access:	Get full text
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