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 |
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Pages (from-to) | 603-611 |
Number of pages | 9 |
Journal | International Journal of Systems Science |
Volume | 25 |
Issue number | 3 |
DOIs | |
Publication status | Published - Mar 1994 |
Externally published | Yes |
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications