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Enlarging the Terminal Region of NMPC with Parameter-Dependent Terminal Control Law

  • Shuyou Yu
  • Hong Chen
  • Christoph Böhm
  • Frank Allgöwer
Chapter
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 384)

Abstract

Nominal stability of a quasi-infinite horizon nonlinear model predictive control (QIH-NMPC) scheme is obtained by an appropriate choice of the terminal region and the terminal penalty term. This paper presents a new method to enlarge the terminal region, and therefore the domain of attraction of the QIH-NMPC scheme. The proposed method applies a parameter-dependent terminal controller. The problem of maximizing the terminal region is formulated as a convex optimization problem based on linear matrix inequalities. Compared to existing methods using a linear time-invariant terminal controller, the presented approach may enlarge the terminal region significantly. This is confirmed via simulations of an example system.

Keywords

Nonlinear Model predictive control Terminal invariant sets Linear differential inclusion Linear matrix inequality 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Shuyou Yu
    • 1
    • 2
  • Hong Chen
    • 2
  • Christoph Böhm
    • 1
  • Frank Allgöwer
    • 1
  1. 1.Institute for Systems Theory and Automatic ControlUniversity of StuttgartGermany
  2. 2.Department of Control Science and EngineeringJilin UniversityChina

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