Region-free Explicit Model-Predictive Control for Linear Systems on Hilbert Spaces

Mikael Kurula, Jukka Pekka Humaloja, Stevan Dubljevic

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Abstract

In this article, we extend discrete-time explicit model-predictive control (MPC) rigorously to linear distributed parameter systems. After formulating an MPC framework and giving a relevant Karush-Kuhn-Tucker theorem, we realize fast regionless explicit MPC by using the dual-active-set method QPKWIK. A Timoshenko beam with input and state constraints is used to demonstrate the efficacy of the design at controlling a continuous-time hyperbolic partial differential equation with constraints, using a discrete-time explicit MPC controller.

Original languageEnglish
Article number1
Pages (from-to)518-525
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume70
Issue number1
DOIs
Publication statusPublished - Jan 2025
MoE publication typeA1 Journal article-refereed

Keywords

  • Costs
  • Distributed parameter systems
  • Hilbert space
  • Linear systems
  • Optimal control
  • Optimization
  • Predictive control
  • Predictive control for linear systems
  • Space exploration

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