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Titlebook: Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems; W. Wicak Ananduta Book 2022 The Editor(s) (if applicabl

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發(fā)表于 2025-3-23 12:17:11 | 只看該作者
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發(fā)表于 2025-3-23 15:04:19 | 只看該作者
Introduction,gy management framework and able to overcome the challenges. Moreover, the key research questions, which incite the development of the thesis, are formulated. Finally, the contents and the related publications of the thesis are stated.
13#
發(fā)表于 2025-3-23 18:44:49 | 只看該作者
14#
發(fā)表于 2025-3-24 00:37:49 | 只看該作者
Mitigating Communication Failures in Distributed MPC Schemes,hange protocol that is based on consensus. By applying this protocol as a complementary plug-in to a DMPC strategy, the controllers improve the resiliency against communication failures and relax the requirements of the communication network.
15#
發(fā)表于 2025-3-24 04:41:32 | 只看該作者
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發(fā)表于 2025-3-24 10:02:21 | 只看該作者
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發(fā)表于 2025-3-24 11:05:35 | 只看該作者
2190-5053 issues of non-centralized optimization.Offers a rigorous ma.This book describes the development of innovative non-centralized optimization-based control schemes to solve economic dispatch problems of large-scale energy systems. Particularly, it focuses on communication and cooperation processes of
18#
發(fā)表于 2025-3-24 18:47:06 | 只看該作者
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發(fā)表于 2025-3-24 20:38:33 | 只看該作者
20#
發(fā)表于 2025-3-25 02:52:39 | 只看該作者
https://doi.org/10.1007/978-3-030-89803-8Distributed Augmented Lagrangian Method; Model Predictive Control Methods; Non‐centralized MPC Scheme;
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