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Robust learning-based MPC for nonlinear constrained systems

Published:2020-07 Issue: Volume:117 Page:108948
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Manzano José María,Limon Daniel,Muñoz de la Peña David,Calliess Jan-Peter

Funder

Universidad de Sevilla

Ministerio de Economía y Competitividad

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference27 articles.

1. Nonlinear model predictive control: Vol. 26;Allgöwer,2012

2. Provably safe and robust learning-based model predictive control;Aswani;Automatica,2013

3. Data-driven modeling, control and tools for cyber-physical energy systems;Behl,2016

4. Interpolation of Lipschitz functions;Beliakov;Journal of Computational and Applied Mathematics,2006

5. Probabilistic and randomized methods for design under uncertainty;Calafiore,2006

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