TR2014-088
Extremum Seeking-based Iterative Learning Linear MPC
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- , "Extremum Seeking-based Iterative Learning Linear MPC", IEEE Conference on Control Applications (CCA), DOI: 10.1109/CCA.2014.6981582, October 2014, pp. 1849-1854.BibTeX TR2014-088 PDF
- @inproceedings{Benosman2014oct,
- author = {Benosman, M. and {Di Cairano}, S. and Weiss, A.},
- title = {Extremum Seeking-based Iterative Learning Linear MPC},
- booktitle = {IEEE Conference on Control Applications (CCA)},
- year = 2014,
- pages = {1849--1854},
- month = oct,
- doi = {10.1109/CCA.2014.6981582},
- url = {https://www.merl.com/publications/TR2014-088}
- }
- , "Extremum Seeking-based Iterative Learning Linear MPC", IEEE Conference on Control Applications (CCA), DOI: 10.1109/CCA.2014.6981582, October 2014, pp. 1849-1854.
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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 online the uncertain parameters and update the MPC model. We show the effectiveness of this algorithm on a DC servo motor control example.