Name
Title | ||
|---|---|---|
An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm. |
Abstract | ||
|---|---|---|
This paper proposes an augmented model approach for identification of nonlinear errors-in-variables (EIVs) systems. An EIV model accounts for uncertainties in the observations of both inputs and outputs. As the direct identification of nonlinear functions is difficult, we propose to approximate the nonlinear EIV model using multiple ARX models. To estimate the noise-free input signal, we use a col... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSMC.2017.2692273 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | Field | DocType |
Heuristic algorithms,Nonlinear dynamical systems,Estimation,Noise measurement,Data models,Numerical models,Cybernetics | Errors-in-variables models,Data modeling,Mathematical optimization,Nonlinear system,Noise measurement,Computer science,Expectation–maximization algorithm,Particle filter,Maximum likelihood,Artificial intelligence,Machine learning,Cybernetics | Journal |
Volume | Issue | ISSN |
48 | 11 | 2168-2216 |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fan Guo | 1 | 12 | 5.25 |
| Ouyang Wu | 2 | 2 | 1.39 |
| Hariprasad Kodamana | 3 | 4 | 1.75 |
| Yongsheng Ding | 4 | 47 | 3.05 |
| Biao Huang | 5 | 746 | 120.96 |