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Optimization-based network partitioning for distributed and decentralized control
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DOI：10.1016/j.jprocont.2024.103357.png)
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Abstract
En 中文
Control of large-scale networks can be challenging due to difficulties in implementation of high-order control systems, data collection, and actuation. Distributed and decentralized control systems are therefore commonly used. This paper proposes an optimization-based partitioning approach for use in decentralized and distributed control. It factors in both computational and communication costs, while also taking into consideration the controllability of the subsystems. An efficient algorithm for solving the optimization problem is also provided. The proposed approach is demonstrated on case studies from water distribution systems.
Keywords:
Network partitioning
Model predictive control
Distributed control
Decentralized control
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