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Distributed Optimization with Application to Power Systems and Control

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Format:
Book
Author/Creator:
Engelmann, Alexander
Language:
English
Physical Description:
1 online resource (226 p.)
Place of Publication:
Karlsruhe KIT Scientific Publishing 2022
Language Note:
English
Summary:
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.
ISBN:
1000144792
Access Restriction:
Open access Unrestricted online access

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