Model validation for control and controller validation in a prediction error identification framework-Part II: illustrations

  • Authors:

  • Michel Gevers;Xavier Bombois;BenoıT Codrons;GéRard Scorletti;Brian D. O. Anderson

  • Affiliations:

  • Centre for Systems Engineering and Applied Mechanics (CESAME), Université Catholique de Louvain, Avenue Georges Lemaitre 4, B-1348 Louvain-la-Neuve, Belgium;Department of Applied Physics, Delft University of Technology, Lorentzweg 1, 2628 CJ Delft, The Netherlands;Laborelec S.C., product line 'Process Control', B-1630 Linkebeek, Belgium;LAP ISMRA, 6 boulevard du Maréchal Juin, F-14050 Caen Cedex, France;Department of Systems Engineering, Research School of Information Sciences and Engineering, Australian National University, Canberra, ACT 0200, Australia

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2003

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Abstract

In this paper, we illustrate our new results on model validation for control and controller validation in a prediction error identification framework, developed in a companion paper (Gevers et al., Automatica (2003) 39(3) pii: S005-1098(02)00234-0), through two realistic simulation examples, covering widely different control design applications. The first is the control of a flexible mechanical system (the Landau benchmark example) with a tracking objective, the second is the control of a ferrosilicon production process with a disturbance rejection objective.