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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shames, I. Charalambous, T. Hadjicostis, C.N. Johansson, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Automatic Control Lab, Electrical Engineering Department and ACCESS Linnaeus Center, Royal Institute of Technology (KTH), Stockholm, Sweden (Shames, I.; Charalambous, T.; Johansson, M.) || Department of Electrical and Computer Engineering at the University of Cyprus, Nicosia, Cyprus (Hadjicostis, C.N.) |
| Abstract | Many properties of interest in graph structures are based on the nodes' average degree (i.e., the average number of edges incident to/from each node). In this work, we present asynchronous distributed algorithms, based on ratio consensus, that can be used to accurately estimate the number of nodes in a multi-component system whose communication topology is described by a directed graph. In addition, we describe an asynchronous distributed algorithm that allows each node to introduce or terminate links in order to reach a target average degree in the network. Such an approach can be useful in many realistic scenarios; for example, for the introduction and removal of renewable energy resources in a power network, while maintaining an average degree that fulfils some structural and dynamical properties and/or optimises some performance indicators of the network. The effectiveness of the proposed algorithms is demonstrated via illustrative examples. |
| Starting Page | 1885 |
| Ending Page | 1892 |
| File Size | 1805135 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467345378 |
| e-ISBN | 9781467345392 |
| DOI | 10.1109/Allerton.2012.6483452 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrical engineering Sociology Estimation Vectors Delays Distributed algorithms Statistics |
| Content Type | Text |
| Resource Type | Article |
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