Name
Title | ||
|---|---|---|
Robust identification of Wiener time-delay system with expectation-maximization algorithm. |
Abstract | ||
|---|---|---|
This paper considers the parameter estimation for Wiener time-delay systems with the output data contaminated with outliers. The time-delay and corrupted output data bring great challenges to the parameter estimation problem. The statistical model of the estimation problem is constructed based on the Laplace distribution and the identification problem is formulated in the scheme of the expectation-maximization (EM) algorithm. The negative effect of outliers imposed on the parameter estimation problem is sufficiently suppressed and the unknown time-delay and model parameters can be estimated simultaneously. The simulation example is given to demonstrate the effectiveness of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jfranklin.2017.05.023 | Journal of the Franklin Institute |
Field | DocType | Volume |
Mathematical optimization,Laplace distribution,Expectation–maximization algorithm,Outlier,Statistical model,Estimation theory,Mathematics,Parameter identification problem | Journal | 354 |
Issue | ISSN | Citations |
13 | 0016-0032 | 2 |
PageRank | References | Authors |
0.37 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| xianqiang yang | 1 | 59 | 10.79 |
| Weili Xiong | 2 | 28 | 5.92 |
| Junxia Ma | 3 | 83 | 9.39 |
| Zeyuan Wang | 4 | 2 | 0.37 |