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arXiv · 1409.2123

Extremum Seeking-based Iterative Learning Linear MPC

Mouhacine Benosman·Stefano Di Cairano·Avishai Weiss
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Abstract

In this work we study the problem of adaptive MPC for linear time-invariant uncertain models. We assume linear models with parametric uncertainties, and propose an iterative multi-variable extremum seeking (MES)-based learning MPC algorithm to learn on-line the uncertain parameters and update the MPC model. We show the effectiveness of this algorithm on a DC servo motor control example.

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Mouhacine Benosman, Stefano Di Cairano, Avishai Weiss. 2014-09-07. Extremum Seeking-based Iterative Learning Linear MPC. https://doi.org/10.1109/cca.2014.6981582

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