Control of Networked Systems by Clustering: The Degree of Freedom Concept ⁎This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme grant agreement OCAL, No. 787845. Issue 2 (2020)
- Record Type:
- Journal Article
- Title:
- Control of Networked Systems by Clustering: The Degree of Freedom Concept ⁎This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme grant agreement OCAL, No. 787845. Issue 2 (2020)
- Main Title:
- Control of Networked Systems by Clustering: The Degree of Freedom Concept ⁎This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme grant agreement OCAL, No. 787845.
- Authors:
- Martinelli, Andrea
Lygeros, John - Abstract:
- Abstract: We address the problem of local flux redistribution in networked systems. The aim is to detect a suitable cluster which is able to locally adsorb a disturbance by means of an appropriate redistribution of control load among its nodes, such that no external node is affected. Traditional clustering measures are not suitable for our purpose, since they do not explicitly take into account the structural conditions for disturbance containment. We propose a new measure based on the concept of degree of freedom for a cluster, and we introduce a heuristic procedure to quickly select a set of nodes according to this measure. Finally, we show an application of the method in the context of DC microgrids voltage control.
- Is Part Of:
- IFAC-PapersOnLine. Volume 53:Issue 2(2020)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 53:Issue 2(2020)
- Issue Display:
- Volume 53, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 53
- Issue:
- 2
- Issue Sort Value:
- 2020-0053-0002-0000
- Page Start:
- 3298
- Page End:
- 3303
- Publication Date:
- 2020
- Subjects:
- Networked systems -- Graph clustering -- Distributed optimization of large scale systems -- Disturbance propagation -- DC microgrids -- Intelligent control of power systems
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2020.12.1491 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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British Library HMNTS - ELD Digital store - Ingest File:
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