2020
DOI: 10.1007/s00034-020-01363-4
|View full text |Cite
|
Sign up to set email alerts
|

Correction-Based Diffusion LMS Algorithms for Distributed Estimation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 19 publications
0
2
0
Order By: Relevance
“…Equation ( 18) can be further expressed as: 14) and (19), we assuming that the fictitious voltage drop Δuvi all converge to a positive real number ε in steady state, the following relationship can be derived:…”
Section: B Distributed Unified Controller Designmentioning
confidence: 99%
See 1 more Smart Citation
“…Equation ( 18) can be further expressed as: 14) and (19), we assuming that the fictitious voltage drop Δuvi all converge to a positive real number ε in steady state, the following relationship can be derived:…”
Section: B Distributed Unified Controller Designmentioning
confidence: 99%
“…In recent years, related work using distributed networks to solve the distributed average estimation problem have been widely studied and applied in microgrids [14]- [18]. Up to date, there are mainly two cooperative strategies in distributed network: consensus strategy and diffusion strategy [19]. To solve the distributed average estimation problem, the theoretical framework of multi-agent consensus algorithm is proposed in [20], which requires only the information of neighboring nodes to complete the task of average estimation.…”
Section: Introductionmentioning
confidence: 99%