Fast and stable nonconvex constrained distributed optimization: the ELLADA algorithm

Distributed optimization using multiple computing agents in a localized and coordinated manner is a promising approach for solving large-scale optimization problems, e.g., those arising in model predictive control (MPC) of large-scale plants. However, a distributed optimization algorithm that is com...

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Veröffentlicht in:	Optimization and engineering Jg. 23; H. 1; S. 259 - 301
Hauptverfasser:	Tang, Wentao, Daoutidis, Prodromos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2022 Springer Nature B.V
Schlagworte:	Algorithms Benchmarks Constraints Control Convergence Engineering Environmental Management Financial Engineering Mathematics Mathematics and Statistics Nonlinear programming Operations Research/Decision Theory Optimization Predictive control Research Article Systems Theory Model predictive control Distributed optimization Nonconvex optimization Acceleration
ISSN:	1389-4420, 1573-2924
Online-Zugang:	Volltext
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