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Details for article 10 of 17 found articles
| Title: |
Identification of composite local linear state-space models using a projected gradient search |
| Author: |
Verdult, Vincent Ljung, Lennart Verhaegen, Michel |
| Appeared in: |
International journal of control |
| Paging: | Volume 75 (2002) nr. 16-17 pages 1385-1398 |
| Year: |
2002-11-01 |
| Contents: |
An identification method is described to determine a weighted combination of local linear state-space models from input and output data. Normalized radial basis functions are used for the weights, and the system matrices of the local linear models are fully parameterized. By iteratively solving a non-linear optimization problem, the centres and widths of the radial basis functions and the system matrices of the local models are determined. To deal with the non-uniqueness of the fully parameterized state-space system, a projected gradient search algorithm is described. It is pointed out that when the weights depend only on the input, the dynamical gradient calculations in the identification method are stable. When the weights also depend on the output, certain difficulties might arise. The methods are illustrated using several examples that have been studied in the literature before. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 10 of 17 found articles
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