Name
Title | ||
|---|---|---|
Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering |
Abstract | ||
|---|---|---|
This paper presents a data filtering based stochastic gradient algorithm for estimating the parameters of multivariable Hammerstein FIR-MA-like systems. By filtering the input and output data, the FIR-MA-like model is transformed into a controlled autoregressive model. The examples confirm that the proposed algorithm is more accurate and has a better performance than the stochastic gradient algorithm. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.jfranklin.2015.01.015 | Journal of the Franklin Institute |
Field | DocType | Volume |
Autoregressive model,Mathematical optimization,Multivariable calculus,Data filtering,Control theory,Algorithm,Filter (signal processing),Input/output,Mathematics | Journal | 352 |
Issue | ISSN | Citations |
4 | 0016-0032 | 0 |
PageRank | References | Authors |
0.34 | 31 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| ziyun wang | 1 | 1 | 1.36 |
| Yan Wang | 2 | 168 | 28.11 |
| Zhicheng Ji | 3 | 34 | 7.59 |