Distributed Optimization with Application to Power Systems and Control
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 ove...
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| Format: | eBook |
| Language: | English |
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Karlsruhe
KIT Scientific Publishing
2022
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| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| 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. |
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| Item Description: | Creative Commons (cc), by-sa/4.0, http://creativecommons.org/licenses/by-sa/4.0 |
| Physical Description: | 1 electronic resource (226 p.) |
| ISBN: | 9783731511809 1000144792 |