
- Engelmann, Alexander
Distributed 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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DETAILS
- Distributed Optimization with Application to Power Systems and Control
- Engelmann, Alexander
- Kartoniert, 226 S.
- graph. Darst.
- Sprache: Englisch
- 210 mm
- ISBN-13: 978-3-7315-1180-9
- Titelnr.: 96215920
- Gewicht: 420 g
- KIT Scientific Publishing (2022)
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E-Mail: info@ksp.kit.edu
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