Structure identification of a class of non-linear systems using correlation and bispectrum approaches
The class of nonlinear systems studied in this paper is assumed to be modeled by block-cascades. Such cascades are composed of a dynamic linear block (L) in cascade with a zero-memory nonlinear block (N) followed by another dynamic linear block (L). This class of models is extensively used to repres...
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1996
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14160/1/14160_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14160/2/14160_2.doc |
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| _version_ | 1864513384055046144 |
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| author | Emara-Shabaik, H.E. |
| author2 | Moustafa, K.A.F. Talaq, J.H.S. unknown |
| author2_role | author author author |
| author_facet | Emara-Shabaik, H.E. Moustafa, K.A.F. Talaq, J.H.S. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Emara-Shabaik, H.E. Moustafa, K.A.F. Talaq, J.H.S. unknown |
| dc.date.none.fl_str_mv | 1996-09 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14160/1/14160_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14160/2/14160_2.doc (1996) Structure identification of a class of non-linear systems using correlation and bispectrum approaches. Control '96, UKACC International conference (Conf. Publ. No. 427), 1. |
| dc.language.none.fl_str_mv | en en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14160/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Structure identification of a class of non-linear systems using correlation and bispectrum approaches |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The class of nonlinear systems studied in this paper is assumed to be modeled by block-cascades. Such cascades are composed of a dynamic linear block (L) in cascade with a zero-memory nonlinear block (N) followed by another dynamic linear block (L). This class of models is extensively used to represent nonlinear dynamic systems and is known in the literature as Wiener-Hammerstein models. Using a zero-mean stationary white Gaussian process as an input to such models, a structure identification criterion is developed based on the bispectrum and bicoherence of the output sequence only. A comparison between the developed criterion and other cross-correlation based criterion is given. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_f73d67342f242c679d5bf787e45df4b2 |
| identifier_str_mv | (1996) Structure identification of a class of non-linear systems using correlation and bispectrum approaches. Control '96, UKACC International conference (Conf. Publ. No. 427), 1. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14160 |
| publishDate | 1996 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Structure identification of a class of non-linear systems using correlation and bispectrum approachesEmara-Shabaik, H.E.Moustafa, K.A.F.Talaq, J.H.S.unknownComputerThe class of nonlinear systems studied in this paper is assumed to be modeled by block-cascades. Such cascades are composed of a dynamic linear block (L) in cascade with a zero-memory nonlinear block (N) followed by another dynamic linear block (L). This class of models is extensively used to represent nonlinear dynamic systems and is known in the literature as Wiener-Hammerstein models. Using a zero-mean stationary white Gaussian process as an input to such models, a structure identification criterion is developed based on the bispectrum and bicoherence of the output sequence only. A comparison between the developed criterion and other cross-correlation based criterion is given.IEEE1996-092020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14160/1/14160_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14160/2/14160_2.doc (1996) Structure identification of a class of non-linear systems using correlation and bispectrum approaches. Control '96, UKACC International conference (Conf. Publ. No. 427), 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14160/info:eu-repo/semantics/openAccessoai::141602019-11-01T14:04:30Z |
| spellingShingle | Structure identification of a class of non-linear systems using correlation and bispectrum approaches Emara-Shabaik, H.E. Computer |
| status_str | publishedVersion |
| title | Structure identification of a class of non-linear systems using correlation and bispectrum approaches |
| title_full | Structure identification of a class of non-linear systems using correlation and bispectrum approaches |
| title_fullStr | Structure identification of a class of non-linear systems using correlation and bispectrum approaches |
| title_full_unstemmed | Structure identification of a class of non-linear systems using correlation and bispectrum approaches |
| title_short | Structure identification of a class of non-linear systems using correlation and bispectrum approaches |
| title_sort | Structure identification of a class of non-linear systems using correlation and bispectrum approaches |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14160/1/14160_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14160/2/14160_2.doc |