Constraint-adaptive MPC for linear systems: A system-theoretic framework for speeding up MPC through online constraint removal-Reference-Cited by-同舟云学术

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Constraint-adaptive MPC for linear systems: A system-theoretic framework for speeding up MPC through online constraint removal

Published:2023-11 Issue: Volume:157 Page:111243
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Nouwens Sven Adrianus Nicolaas,Paulides Margarethus Marius,Heemels Maurice

Funder

Health~Holland

KWF Kankerbestrijding

European Research Council

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Stichting voor de Technische Wetenschappen

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference20 articles.

1. Acceleration of umbrella constraint discovery in generation scheduling problems;Ardakani;IEEE Transactions on Power Systems,2015

2. A dual active-set solver for embedded quadratic programming using recursive LDL;Arnström;IEEE Transactions on Automatic Control,2022

3. Model predictive control based on linear programming - the explicit solution;Bemporad;IEEE Transactions on Automatic Control,2002

4. Ultra-fast stabilizing model predictive control via canonical piecewise affine approximations;Bemporad;IEEE Transactions on Automatic Control,2011

5. Frison, G., & Diehl, M. (2020). HPIPM: a high-performance quadratic programming framework for model predictive control. In Proceedings of the IFAC world congress.

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