Stabilising model predictive control for discrete-time fractional-order systems

Pantelis Sopasakis, Haralambos Sarimveis

Research output: Contribution to journalArticle

21 Citations (Scopus)
129 Downloads (Pure)

Abstract

In this paper, a model predictive control scheme is proposed for constrained fractional-order discrete-time systems. We prove that constraints are satisfied and we prescribe conditions for the origin to be an asymptotically stable equilibrium point of the controlled system. A finite-dimensional approximation of the original infinite-dimensional dynamics is employed for which the approximation error can become arbitrarily small. The approximate dynamics is used to design a tube-based model predictive controller which steers the system state to a neighbourhood of the origin of controlled size. Stability conditions are finally derived for the MPC-controlled system which are computationally tractable and account for the infinite dimensional nature of the fractional-order system and the state and input constraints. The proposed control methodology guarantees asymptotic stability of the discrete-time fractional order system, satisfaction of the prescribed constraints and recursive feasibility.
Original languageEnglish
Pages (from-to)24-31
Number of pages8
JournalAutomatica
Volume75
Early online date01 Nov 2016
DOIs
Publication statusPublished - Jan 2017

Keywords

  • Fractional systems
  • Model predictive control
  • Asymptotic stabilisation
  • Constrained Systems
  • Fractional-order derivatives
  • Grünwald-Letnikov derivative

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