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LPV Modelling and Identification: An Overview

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Robust Control and Linear Parameter Varying Approaches

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 437))

Abstract

The current state-of-the-art in the fields of control-oriented LPV modelling and LPV system identification is surveyed and the potential synergies between the two research areas are highlighted and discussed. Indeed, a number of methods and tools for the development of LPV models from nonlinear systems and for the identification of black-box LPV models from input/output data have been derived, in a rather independent way, in different research communities. The relative merits of analytical and experimental methods for the derivation of LPV models, as well as possible combinations of the two approaches, are analysed and eventually evaluated on a case study based on the modelling of a thermo-fluid system.

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Authors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy

    Marco Lovera, Marco Bergamasco & Francesco Casella

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  1. Marco Lovera
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  2. Marco Bergamasco
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  3. Francesco Casella
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Correspondence to Marco Lovera .

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Editors and Affiliations

  1. Systems (Dpt Automatique), UMR CNRS 5216, GIPSA-lab, Department of Control, Rue de la Houille Blanche 11, Saint Martin d'Heres Cedex, 38 402, France

    Olivier Sename

  2. , Computer & Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, Budapest, 1111, Hungary

    Peter Gaspar

  3. , Computer & Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, Budapest, 1111, Hungary

    József Bokor

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Lovera, M., Bergamasco, M., Casella, F. (2013). LPV Modelling and Identification: An Overview. In: Sename, O., Gaspar, P., Bokor, J. (eds) Robust Control and Linear Parameter Varying Approaches. Lecture Notes in Control and Information Sciences, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36110-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-36110-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36109-8

  • Online ISBN: 978-3-642-36110-4

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