### Abstract

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, 2002 - Barcelona, Spain Duration: 21 Jul 2002 → 26 Jul 2002 Conference number: 15 |

### Conference

Conference | 15th World Congress of the International Federation of Automatic Control, 2002 |
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Abbreviated title | IFAC 2002 |

Country | Spain |

City | Barcelona |

Period | 21/07/02 → 26/07/02 |

### Fingerprint

### Keywords

- Block-oriented model
- Identification
- Nonlinear process
- Parameter estimation
- Relaxation algorithm

### Cite this

*Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (IFAC202), 21-26 June 2002, Barcelona, Spain*[2070]

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*Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (IFAC202), 21-26 June 2002, Barcelona, Spain.*, 2070, 15th World Congress of the International Federation of Automatic Control, 2002, Barcelona, Spain, 21/07/02.

**Estimation of an N-L-N Hammerstein-Wiener model.** / Zhu, Y.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Estimation of an N-L-N Hammerstein-Wiener model

AU - Zhu, Y.

PY - 2002/1/1

Y1 - 2002/1/1

N2 - 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.

AB - 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.

KW - Block-oriented model

KW - Identification

KW - Nonlinear process

KW - Parameter estimation

KW - Relaxation algorithm

UR - http://www.scopus.com/inward/record.url?scp=84945569629&partnerID=8YFLogxK

M3 - Conference contribution

BT - Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (IFAC202), 21-26 June 2002, Barcelona, Spain

ER -