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Experimental operation of a solar‐driven climate system with thermal energy storages using mixed‐integer nonlinear model predictive control

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Publication:5159850
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DOI10.1002/oca.2728zbMath1472.93035OpenAlexW3163142557MaRDI QIDQ5159850

Marco Braun, Daniel Bull, Parantapa Sawant, Markus Bohlayer, Adrian Bürger, Moritz Diehl, Andreas Klotz, Angelika Altmann-Dieses, Daniel Beschütz

Publication date: 28 October 2021

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.2728


zbMATH Keywords

model predictive controlmixed-integer nonlinear programmingexperimental studyrenewable energy systemssolar thermal climate systems


Mathematics Subject Classification ID

Mixed integer programming (90C11) Nonlinear programming (90C30) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Model predictive control (93B45)


Related Items (2)

A Gauss-Newton-based decomposition algorithm for nonlinear mixed-integer optimal control problems ⋮ Robust tube-based NMPC for dynamic systems with discrete degrees of freedom




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