Characterization of dynamic system nonlinearities via probabilistic approach

H. E. Emara-Shabaik, K. A.F. Moustafa

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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 languageEnglish
Pages (from-to)603-611
Number of pages9
JournalInternational Journal of Systems Science
Volume25
Issue number3
DOIs
Publication statusPublished - Mar 1994
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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