Brief paper: Predictive control of hybrid systems: Input-to-state stability results for sub-optimal solutions

  • Authors:

  • M. Lazar;W. P. M. H. Heemels

  • Affiliations:

  • Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands;Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2009

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Abstract

This article presents a novel model predictive control (MPC) scheme that achieves input-to-state stabilization of constrained discontinuous nonlinear and hybrid systems. Input-to-state stability (ISS) is guaranteed when an optimal solution of the MPC optimization problem is attained. Special attention is paid to the effect that sub-optimal solutions have on ISS of the closed-loop system. This issue is of interest as firstly, the infimum of MPC optimization problems does not have to be attained and secondly, numerical solvers usually provide only sub-optimal solutions. An explicit relation is established between the deviation of the predictive control law from the optimum and the resulting deterioration of the ISS property of the closed-loop system. By imposing stronger conditions on the sub-optimal solutions, ISS can even be attained in this case.