Tools
Tools
Giv, H., Khalili, A., Rastegarnia, A. and Sanei, S. 
ORCID: 0000-0002-3437-2801,
2021.
A robust adaptive estimation algorithm for Hamiltonian multi-agent networks.
IEEE Control Systems Letters, 5 (4), pp. 1243-1248.
ISSN 2475-1456
|
Text
1397265_a1399_Sanei.pdf - Post-print Download (384kB) | Preview |
Abstract
In this letter a robust incremental adaptation algorithm is presented to solve distributed estimation for a Hamiltonian network, where the measurements at each node may be corrupted by heavy-tailed impulsive noise. In the proposed algorithm, each node employs an error-nonlinearity into the update equation to mitigate the detrimental effects of impulsive noise. Moreover, the algorithm estimates both the optimal error non-linearity and the unknown parameter together, which in turn, obviates the requirement of prior knowledge about the statistical characteristics of measurement noise. In addition to algorithm development, its steady-state performance as well as convergence analysis have been provided. Simulation results validate the correctness of the analysis and reveal the superiority of the proposed algorithm over some existing algorithms.
| Item Type: | Journal article | ||||||
|---|---|---|---|---|---|---|---|
| Publication Title: | IEEE Control Systems Letters | ||||||
| Creators: | Giv, H., Khalili, A., Rastegarnia, A. and Sanei, S. | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers | ||||||
| Date: | October 2021 | ||||||
| Volume: | 5 | ||||||
| Number: | 4 | ||||||
| ISSN: | 2475-1456 | ||||||
| Identifiers: |
|
||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jonathan Gallacher | ||||||
| Date Added: | 05 Jan 2021 13:47 | ||||||
| Last Modified: | 31 May 2021 15:07 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/41947 |
Actions (login required)
 |
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year
