More efficient predictive control

  • Authors:

  • Lars Imsland;Nadav Bar;Bjarne A. Foss

  • Affiliations:

  • Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway;Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway;Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2005

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Abstract

An approach for constrained predictive control of linear systems (or uncertain systems described by polytopic uncertainty models) is presented. The approach consists of (in general non-convex, but often convex) offline optimization, and very efficient online optimization. Two examples, one being a laboratory experiment, compare the approach to existing approaches, revealing both advantages and disadvantages.