Abstract
This paper presents data-driven power iteration to distributively estimate the dominant eigenvalues of an unknown linear time-invariant system. The proposed strategy only requires a single trajectory data or measurements. Furthermore, in order to perform the distributed estimation, the communication network topology can be chosen to be any strongly connected directed graphs. The proposed data-driven power iteration is demonstrated using several numerical examples and is then applied to estimate the generalized algebraic connectivity of cooperative systems and to control the epidemic spreading.
| Original language | English |
|---|---|
| Title of host publication | 2021 European Control Conference (ECC) |
| Publisher | IEEE |
| Pages | 87-92 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-9-4638-4236-5 |
| ISBN (Print) | 978-1-6654-7945-5 |
| DOIs | |
| Publication status | Published - 2021 |
| Publication type | A4 Article in conference proceedings |
| Event | European Control Conference - Virtual Conference Duration: 29 Jun 2021 → 2 Jul 2021 |
Conference
| Conference | European Control Conference |
|---|---|
| City | Virtual Conference |
| Period | 29/06/21 → 2/07/21 |
Publication forum classification
- Publication forum level 1
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