A Robust Adaptive Estimation Algorithm for Hamiltonian Multi-Agent Networks
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...
Paper Details
Title
A Robust Adaptive Estimation Algorithm for Hamiltonian Multi-Agent Networks
Published Date
Oct 1, 2021
Journal
Volume
5
Issue
4
Pages
1243 - 1248
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History