Pseudo-State-Space Fractional System Identification

7 Pages Posted: 13 Nov 2018

See all articles by Elena Ivanova

Elena Ivanova

University of Bordeaux

Rachid Malti,

Université de Bordeaux

Xavier Moreau

Bordeaux University

Date Written: July 1, 2018

Abstract

When implementing continuous-time subspace methods for system identification in a stochastic context, it is required to compute filtered derivatives of continuous-time signals. These filters are introduced to avoid amplification of noise in high frequencies. Different types of filters are studied in this paper on the basis of MOESP and PO-MOESP subspace algorithms.

Suggested Citation

Ivanova, Elena and Malti, Rachid and Moreau, Xavier, Pseudo-State-Space Fractional System Identification (July 1, 2018). Proceedings of International Conference on Fractional Differentiation and its Applications (ICFDA) 2018. Available at SSRN: https://ssrn.com/abstract=3277704 or http://dx.doi.org/10.2139/ssrn.3277704

Elena Ivanova

University of Bordeaux ( email )

Avenue Léon Duguit
Bordeaux, 33000
France

Rachid Malti (Contact Author)

Université de Bordeaux ( email )

Avenue Léon Duguit
Bordeaux, 33000
France

Xavier Moreau

Bordeaux University ( email )

Avenue Léon Duguit
Pessac, 33000
France

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