A new approach to robust MPC design for LPV systems in input-output form

Hossam S. Abbas, Jurre Hanema, Roland Tóth, Javad Mohammadpour, Nader Meskin

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

In this paper, a robust model predictive control (MPC) technique is introduced to control MIMO linear parameter-varying (LPV) systems subject to input-output constraints. The LPV system is represented in input-output form, which is a common form obtained through LPV system identification. The method guarantees asymptotic stability of the closed-loop system and provides integral action for a given piecewise constant reference trajectory based on past measurements of the inputs and outputs. The technique offers computationally more efficient and less conservative design approach compared to previous works. A simulation example is given to demonstrate the effectiveness of the proposed technique.

Original languageEnglish
Pages (from-to)112-117
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number26
DOIs
Publication statusPublished - 23 Nov 2018

Keywords

  • Convex Optimization
  • Linear Parameter-Varying (LPV) Systems
  • LMI
  • Model Predictive Control
  • Performance
  • Robust Stability

Fingerprint Dive into the research topics of 'A new approach to robust MPC design for LPV systems in input-output form'. Together they form a unique fingerprint.

Cite this