Abstract
Identification of SISO N-L-N Hammerstein-Wiener model is studied. First the model structure is motivated and disturbance model is discussed. Then the work is concentrated on parameter estimation. The original model is approximated using a simpler structure in which error is bilinear-in-parameters so that a relaxation scheme can be used. The relaxation algorithm will determine the input nonlinearity, a high order ARX linear model and the inverse of output nonlinearity. The original model is then obtained by order reduction on the linear model and by calculating the output nonlinearity from its inverse Simulation studies will be used to illustrate the method.
| Original language | English |
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| Title of host publication | Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (IFAC202), 21-26 June 2002, Barcelona, Spain |
| Number of pages | 6 |
| Publication status | Published - 1 Jan 2002 |
| Event | 15th World Congress of the International Federation of Automatic Control (IFAC 2002 World Congress) - Barcelona, Spain Duration: 21 Jul 2002 → 26 Jul 2002 Conference number: 15 |
Conference
| Conference | 15th World Congress of the International Federation of Automatic Control (IFAC 2002 World Congress) |
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| Abbreviated title | IFAC 2002 |
| Country/Territory | Spain |
| City | Barcelona |
| Period | 21/07/02 → 26/07/02 |
Keywords
- Block-oriented model
- Identification
- Nonlinear process
- Parameter estimation
- Relaxation algorithm