Abstract
This work proposes an iterative identification algorithm for polynomial NARX models with several inputs. An optimal input design procedure is used to obtain persistent excitation for all regressors taking into account actuator and safety constraints. Through this procedure and the iterative increase of the polynomial degree, systems of unknown nonlinear structure can be approximated. The paper presents the procedure and results using a numerical and experimental example the air-path of a combustion engine.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of NOLCOS 2010 |
| Number of pages | 6 |
| Publication status | Published - 2010 |
Fields of science
- 202 Electrical Engineering, Electronics, Information Engineering
- 202027 Mechatronics
- 202034 Control engineering
- 203027 Internal combustion engines
- 206001 Biomedical engineering
- 206002 Electro-medical engineering
- 207109 Pollutant emission