Abstract
In this article we present a method to reconstruct the interconnectedness of dynamically related stochastic processes, where the interactions are bi-directional and the underlying topology is a tree. Our approach is based on multivariate Wiener filtering which recovers spurious edges apart from the true edges in the topology reconstruction. The main contribution of this work is to show that all spurious links obtained using Wiener filtering can be eliminated if the underlying topology is a tree based on which we present a three stage network reconstruction procedure for trees. We illustrate the effectiveness of the method developed by applying it on a typical distribution system of the electric grid.
Original language | English (US) |
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Title of host publication | 2017 American Control Conference, ACC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 813-818 |
Number of pages | 6 |
ISBN (Electronic) | 9781509059928 |
DOIs | |
State | Published - Jun 29 2017 |
Event | 2017 American Control Conference, ACC 2017 - Seattle, United States Duration: May 24 2017 → May 26 2017 |
Publication series
Name | Proceedings of the American Control Conference |
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ISSN (Print) | 0743-1619 |
Other
Other | 2017 American Control Conference, ACC 2017 |
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Country/Territory | United States |
City | Seattle |
Period | 5/24/17 → 5/26/17 |
Bibliographical note
Publisher Copyright:© 2017 American Automatic Control Council (AACC).