Browsing by Subject "Decentralized control"
Now showing items 1-7 of 7
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(IEEE-Inst Electrical Electronics Engineers, 2022)Distributed control of modular multilevel converter (MMC) submodules (SMs) offers several potential benefits such as flexibility, scalability, and modularity. In this approach, low-level control tasks, such as capacitor ...
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(Springer, 2017)In this paper, decentralized reinforcement learning is applied to a control problem with a multidimensional action space. We propose a decentralized reinforcement learning architecture for a mobile robot, where the individual ...
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(Elsevier, 2018)A multi-agent methodology is proposed for Decentralized Reinforcement Learning (DRL) of individual behaviors in problems where multi-dimensional action spaces are involved. When using this methodology, sub-tasks are learned ...
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(IEEE, 2020)A distributed control system is proposed which uses the Conservative Power Theory (CPT) and a consensus algorithm to share imbalance and harmonics between different converters in three-phase four-wire droop-controlled ...
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(IEEE Access, 2021)Hybrid AC/DC microgrids are of special interest for energization due to their exibility, low infrastructure investments, reduced conversion losses, and reliability against failures on the utility grid. In these systems, ...
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(Institute of Electrical and Electronics Engineers (IEEE), 2020)A distributed control strategy is proposed to share unbalanced currents in three-phase three-wire isolated AC Microgrids (MGs). It is based on a novel approach where, rather than analysing the MG as a three-phase system, ...
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(Springer Verlag, 2017)This paper addresses the design and implementation of complex Reinforcement Learning (RL) behaviors where multi-dimensional action spaces are involved, as well as the need to execute the behaviors in real-time using robotic ...