Abstract
The problem of nonlinearity detection in system identification is treated. A probabilistic approach is taken which facilitates the analysis and enables the treatment of both strong and weak nonlinearities. The analysis shows that third- and fourth-order cumulants of the system output can be used to detect the existence of system nonlinearities, and to characterize their type
| Original language | English |
|---|---|
| Pages (from-to) | 603-611 |
| Number of pages | 9 |
| Journal | International Journal of Systems Science |
| Volume | 25 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 1994 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications
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