Run-to-Run MPC Tuning via Gradient Descent

Gene A. Bunin*, Fernando Fraire Tirado, Grégory François, Dominique Bonvin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


A gradient-descent method for the run-to-run tuning of MPC controllers is proposed. It is shown that, with an assumption on process repeatability, the MPC tuning parameters may be brought to a locally optimal set. SISO and MIMO examples illustrate the characteristics of the proposed approach.

Original languageEnglish
Pages (from-to)927-931
Number of pages5
JournalComputer-Aided Chemical Engineering
Publication statusPublished - 2012


  • Gradient descent
  • Model predictive control
  • Run-to-run adaptation


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