A systematic method to enhance the robustness of stabilising receding-horizon predictive controllers

D. Megias, J. Serrano, A. G. Kuznetsov

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Although stability guarantees are available for predictive controllers, closed-loop instability may arise due to system uncertainty. The T-design and the Q-parametrisation methods are often used to enhance the robustness of predictive controllers. The former is heuristic, whereas optimisation rules exist for the latter, which makes it systematic. However, the T-design tends to producing larger robustness margins. The T-optimisation presented here is a systematic procedure to choose T based on optimising a quadratic criterion on robustness and thus, overcomes the drawbacks of heuristic approaches. This method can lead to robustness margins larger than those obtained with other techniques.

Original languageAmerican English
Pages (from-to)831-836
Number of pages6
JournalEuropean Control Conference, ECC 1999 - Conference Proceedings
DOIs
Publication statusPublished - 24 Mar 2015

Keywords

  • predictive control
  • robustness
  • stability guarantees
  • uncertainty

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