Abstract
In this paper we study the problem of real-time topology identification of networks with diffusive couplings and unknown linear terms. Inspired by adaptive observer theory, we propose two different strategies based on full or partial measurements of each node activity. Sufficient conditions guaranteeing convergence to the precise value of coupling weights are derived using appropriate Lyapunov functions, Barbalat's Lemma, and the persistent excitation condition. Our theoretical results are illustrated via numerical simulations using a network of chaotic oscillators.
Original language | English (US) |
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Title of host publication | 2018 Annual American Control Conference, ACC 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3398-3403 |
Number of pages | 6 |
ISBN (Print) | 9781538654286 |
DOIs | |
State | Published - Aug 9 2018 |
Event | 2018 Annual American Control Conference, ACC 2018 - Milwauke, United States Duration: Jun 27 2018 → Jun 29 2018 |
Publication series
Name | Proceedings of the American Control Conference |
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Volume | 2018-June |
ISSN (Print) | 0743-1619 |
Other
Other | 2018 Annual American Control Conference, ACC 2018 |
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Country/Territory | United States |
City | Milwauke |
Period | 6/27/18 → 6/29/18 |
Funding
*This work was supported in part by a grant from the Office of Naval Research.
ASJC Scopus subject areas
- Electrical and Electronic Engineering