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Distributed Optimization with Application to Power Systems and Control

Alexander Engelmann
Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized-all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization overcome this limitation. Classical approaches, however, are often not applicable due to non-convexities. This work develops one of the first frameworks for distributed non-convex optimization.
Autor: Engelmann, Alexander
EAN: 9783731511809
Sprache: Englisch
Seitenzahl: 226
Produktart: kartoniert, broschiert
Verlag: KIT Scientific Publishing
Schlagworte: Nachrichtentechnik
Größe: 148 × 210
Gewicht: 420 g