A new least-squares approach to differintegration modeling

Manuel D. Ortigueira, António J. Serralheiro

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

In this paper a new least-squares (LS) approach is used to model the discrete-time fractional differintegrator. This approach is based on a mismatch error between the required response and the one obtained by the difference equation defining the auto-regressive, moving-average (ARMA) model. In minimizing the error power we obtain a set of suitable normal equations that allow us to obtain the ARMA parameters. This new LS is then applied to the same examples as in [R.S. Barbosa, J.A. Tenreiro Machado, I.M. Ferreira, Least-squares design of digital fractional-order operators, FDA'2004 First IFAC Workshop on Fractional Differentiation and Its Applications, Bordeaux, France, July 19-21, 2004, P. Ostalczyk, Fundamental properties of the fractional-order discrete-time integrator, Signal Processing 83 (2003) 2367-2376] so performance comparisons can be drawn. Simulation results show that both magnitude frequency responses are essentially identical. Concerning the modeling stability, both algorithms present similar limitations, although for different ARMA model orders.

Original languageEnglish
Pages (from-to)2582-2591
Number of pages10
JournalSignal Processing
Volume86
Issue number10
DOIs
Publication statusPublished - Oct 2006

Keywords

  • Discrete-time fractional differintegrator
  • Grünwald-Letnikov derivative
  • Pseudo-fractional ARMA
  • Tustin bilinear transformation

Fingerprint Dive into the research topics of 'A new least-squares approach to differintegration modeling'. Together they form a unique fingerprint.

  • Cite this