| Titre : | Nonparametric identification for control of MIMO hammerstein systems (2008) |
| Auteurs : | Jyh-Cheng Jeng, Auteur ; Hsiao-Ping Huang, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 47 N°17, Septembre 2008) |
| Article en page(s) : | p. 6640–6647 |
| Note générale : | Chemical engineering |
| Langues : | Anglais |
| Tags : | Hammerstein models Nonparametric method Linear dynamic subsystem Algebraic nonlinear function |
| Résumé : |
A new nonparametric method to identify multivariable Hammerstein models is presented. The Hammerstein model is characterized by a combination of a linear dynamic subsystem and an algebraic nonlinear function. There could be many different models that give the same input−output realization. The purpose of this identification is to find out one among those models for controller design. This identification uses a sequence of specially designed test signals for excitation. The linear dynamic subsystem is identified as a finite sequence of impulse response (FIR), and the static nonlinearity is identified as a multi-input−multi-output (MIMO) functional mapping. By making use of this special test signal, the FIR sequence can be estimated under a single-input−single-output (SISO) framework. Moreover, the identification for linear subsystem can be decoupled from that for the nonlinear static part. This nonparametric model can be used for model predictive control applications. |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie071512q |
