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.
|Number of pages||5|
|Journal||Computer-Aided Chemical Engineering|
|Publication status||Published - 2012|
- Gradient descent
- Model predictive control
- Run-to-run adaptation