Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control

This paper presents a benchmark study of dual decomposition-based distributed optimization algorithms applied to constraint-coupled model predictive control problems. These problems can be interpreted as multiple subsystems which are coupled through constraints on the availability of shared limited...

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Veröffentlicht in:	Results in control and optimization Jg. 17; S. 100495
Hauptverfasser:	Yfantis, Vassilios, Wagner, Achim, Ruskowski, Martin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2024 Elsevier
Schlagworte:	ADMM Bundle method Distributed model predictive control Dual decomposition Quasi-Newton Subgradient method Distributed model predictive control Dual decomposition Quasi-Newton ADMM Subgradient method Bundle method
ISSN:	2666-7207, 2666-7207
Online-Zugang:	Volltext
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