%0 Journal Article
%T Extremum Seeking-based Iterative Learning Linear MPC
%A Mouhacine Benosman
%A Stefano Di Cairano
%A Avishai Weiss
%J Computer Science
%D 2014
%I arXiv
%X 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.
%U http://arxiv.org/abs/1409.2123v1