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Engelmann, AlexanderDistributed Optimization with Application to Power Systems and Control
Kartoniert, KIT Scientific Publishing (2022)
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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.

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Distributed Optimization with Application to Power Systems and Control

Engelmann, Alexander

Kartoniert, 226 S.

graph. Darst.

Sprache: Englisch

210 mm

KIT Scientific Publishing (2022)

Gewicht: 420 g

ISBN-13: 978-3-7315-1180-9

Titelnr.: 96215920

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