Name
Title | ||
|---|---|---|
Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities. |
Abstract | ||
|---|---|---|
This paper considers the parameter estimation problem for Hammerstein systems with saturation and preload nonlinearities. Based on the key term separation technique, the output of the system is expressed as a linear combination of all the system parameters. By introducing the forgetting factors and using the data filtering technique, a data filtering based forgetting factor stochastic gradient (F-FF-SG) algorithm is presented. The simulation examples illustrate that the F-FF-SG algorithm has faster convergence rates and better parameter estimation accuracies than the stochastic gradient algorithm and the data filtering based stochastic gradient algorithm. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jfranklin.2016.07.025 | Journal of the Franklin Institute |
Field | DocType | Volume |
Convergence (routing),Linear combination,Forgetting,Preload,Mathematical optimization,Saturation (chemistry),Data filtering,Control theory,Hammerstein systems,Algorithm,Estimation theory,Mathematics | Journal | 353 |
Issue | ISSN | Citations |
16 | 0016-0032 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junxia Ma | 1 | 83 | 9.39 |
| Weili Xiong | 2 | 28 | 5.92 |
| Feng Ding | 3 | 4973 | 231.42 |
| A. Alsaedi | 4 | 749 | 63.55 |
| Tasawar Hayat | 5 | 999 | 71.98 |