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Characterization of dynamic system nonlinearities via probabilistic approach

 

作者: H. E. EMARA-SHABAIK,   K. A. F. MOUSTAFA,  

 

期刊: International Journal of Systems Science  （Taylor Available online 1994）
卷期: Volume 25, issue 3  

页码: 603-611

 

ISSN:0020-7721

 

年代: 1994

 

DOI:10.1080/00207729408928983

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

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

 

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