Name
Abstract | ||
|---|---|---|
In an earlier paper by Moonen et at. (1989), an algorithm has been introduced for identifying multivariable linear systems directly from input-output data. This new algorithm falls in the class of so-called subspace methods and resembles impulse response based realization algorithms. In this paper, we extend this algorithm by incorporating a balancing step, such that the identified model is always in balanced coordinates. With this modification, one obtains a data driven counterpart for Kung's realization algorithm |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/9.262050 | Automatic Control, IEEE Transactions |
Keywords | DocType | Volume |
State-space methods,System identification,Reduced order systems,Linear systems,Sensitivity analysis,Roundoff errors,Quantization,Filtering,Deconvolution,Data mining | Journal | 38 |
Issue | ISSN | Citations |
11 | 0018-9286 | 8 |
PageRank | References | Authors |
1.84 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Moonen | 1 | 377 | 46.79 |
| José Ramos | 2 | 8 | 2.17 |