Name
Abstract | ||
|---|---|---|
Methods for determining optimal parameters for Wiener models of direction-dependent dynamic systems are described. When such a system has first-order dynamics, with parameters dependent on the system output direction, the input-output cross-correlation function contains distinctive patterns when the input is a pseudo-random binary signal based on an m-sequence. Similar patterns are observed in the cross-correlation function of a Wiener model when perturbed by the same signal. Comparing these patterns as the parameters of the Wiener model are changed leads to methods for determining the optimal parameter values. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ACC.2001.945756 | PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6 |
Keywords | DocType | ISSN |
system identification, direction-dependent dynamics, nonlinear systems, Wiener models, pseudo-random signals | Conference | 0743-1619 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. A. Barker | 1 | 5 | 2.07 |
| K. R. Godfrey | 2 | 68 | 18.03 |
| A. H. Tan | 3 | 1 | 1.06 |