Abstract
In processes control, it is required to have a model that describes the process behaviour. Identification techniques provide an approximate representation of the real system behaviour, by using a linguistic or mathematical expression, or an algorithm. In this work, a dynamical adaptive fuzzy model is used in order to propose the input-output identification model of a time-varying non-linear system. This class of fuzzy models permit a generic adaptive approach of the process behaviour through the adaptation of the membership functions to the universes of discourse of the model variables.
| Translated title of the contribution | Time-varying non-linear system identification using dynamical adaptive fuzzy systems |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 171-180 |
| Number of pages | 10 |
| Journal | Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia |
| Volume | 25 |
| Issue number | 3 |
| State | Published - Dec 2002 |
| Externally published | Yes |
Keywords
- Adaptive fuzzy systems
- Dynamical fuzzy systems
- Fuzzy logic
- System Identification
ASJC Scopus subject areas
- General Engineering