Brief paper: On feasible sets for MPC and their approximations

  • Authors:
  • Francesco Scibilia;Sorin Olaru;Morten Hovd

  • Affiliations:
  • Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway;SUPELEC Systems Sciences (E3S), Automatic Control Department, Gif-sur-Yvette, 91192, France;Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2011

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Abstract

In this paper we are interested in the computation of feasible sets for linear model predictive control techniques, based on set relations and not on the conventional orthogonal projection. Further, the problem of computing suitable inner approximations of the feasible sets is considered. Such approximations are characterized by simpler polytopic representations, and preserve essential properties as convexity, positive invariance, inclusion of the set of expected initial states.