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The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling

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Identification of Continuous-time Models from Sampled Data

Part of the book series: Advances in Industrial Control ((AIC))

Abstract

This chapter describes the continuous-time system identification (CONTSID) toolbox for MATLAB®, which supports continuous-time (CT) transfer function and state-space model identification directly from regularly or irregularly time-domain sampled data, without requiring the determination of a discrete-time (DT) model. The motivation for developing the CONTSID toolbox was first to fill in a gap, since no software support was available to serve the cause of direct time-domain identification of continuous-time linear models but also to provide the potential user with a platform for testing and evaluating these data-based modelling techniques. The CONTSID toolbox was first released in 1999 [15]. It has gone through several updates, some of which have been reported at recent symposia [11, 12, 16]. The key features of the CONTSID toolbox can be summarised as follows:

  • it supports most of the time-domain methods developed over the last thirty years [17] for identifying linear dynamic continuous-time parametric models from measured input/output sampled data;

  • it provides transfer function and state-space model identification methods for single-input single-output (SISO) and multiple-input multiple-output (MIMO) systems, including both traditional and more recent approaches;

  • it can handle irregularly sampled data in a straightforward way;

  • it may be seen as an add-on to the system identification (SID) toolbox for MATLAB® [26]. To facilitate its use, it has been given a similar setup to the SID toolbox;

  • it provides a flexible graphical user interface (GUI) that lets the user analyse the experimental data, identify and evaluate models in an easy way.

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Author information

Authors and Affiliations

  1. Nancy-Universitée, CNRS, France

    Hugues Garnier, Marion Gilson & Thierry Bastogne

  2. Direction de la Recherche, Etudes Avancéees, Matéeriaux — Renault, France

    Michel Mensler

Authors
  1. Hugues Garnier
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  2. Marion Gilson
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  3. Thierry Bastogne
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  4. Michel Mensler
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Editors and Affiliations

  1. Faculté des Sciences et Techniques, Centre de Recherche en Automatique de Nancy (CRAN), Nancy-Université CNRS, 54506, Vandoeuvre-les-Nancy, France

    Hugues Garnier PhD

  2. School of Electrical and Computing Engineering, RMIT University, Swanston Street, Melbourne, 3000, Victoria, Australia

    Liuping Wang PhD

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© 2008 Springer-Verlag London Limited

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Garnier, H., Gilson, M., Bastogne, T., Mensler, M. (2008). The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling. In: Garnier, H., Wang, L. (eds) Identification of Continuous-time Models from Sampled Data. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-84800-161-9_9

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  • DOI: https://doi.org/10.1007/978-1-84800-161-9_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-160-2

  • Online ISBN: 978-1-84800-161-9

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