Abstract
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H) models are developed. These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. Convergence conditions of the developed algorithms are established. Numerical results, to test the algorithms and illustrate their estimation accuracy, are given.
| Original language | English |
|---|---|
| Pages (from-to) | 606-613 |
| Number of pages | 8 |
| Journal | JSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing |
| Volume | 45 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2002 |
Keywords
- Block-Cascade Models
- Equation Error
- Identification
- Linear-Nonlinear-Linear Models
- Nonlinear Models
- Output Error
- Parameter Estimation
- Prediction Error
- Recursive Algorithms
- Wiener-Hammerstein Models
ASJC Scopus subject areas
- Mechanical Engineering
- Industrial and Manufacturing Engineering