|
| << previous | next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 8 of 12 found articles
| Title: |
Practical identification of NARMAX models using radial basis functions |
| Author: |
Chen, S. Billings, S. A. Cowan, C. F. N. Grant, P. M. |
| Appeared in: |
International journal of control |
| Paging: | Volume 52 (1990) nr. 6 pages 1327-1350 |
| Year: |
1990-12-01 |
| Contents: |
A wide class of discrete-time non-linear systems can be represented by the nonlinear autoregressive moving average (NARMAX) model with exogenous inputs. This paper develops a practical algorithm for identifying NARMAX models based on radial basis functions from noise-corrupted data. The algorithm consists of an iterative orthogonal-forward-regression routine coupled with model validity tests. The orthogonal-forward-regression routine selects parsimonious radial-basisTunc-tion models, while the model validity tests measure the quality of fit. The modelling of a liquid level system and an automotive diesel engine are included to demonstrate the effectiveness of the identification procedure. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 8 of 12 found articles
| << previous | next >> |