Spectral Techniques for Nonlinear System Analysis and Identification
This article reviews some recent and current research work with emphasis on new recommended spectral techniques that can analyze and identify the optimum linear and nonlinear system properties in a large class of single-input/single-output nonlinear models by using experimentally measured input/outp...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
1993-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.3233/SAV-1993-1104 |
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| _version_ | 1832553367526703104 |
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| author | Julius S. Bendat |
| author_facet | Julius S. Bendat |
| author_sort | Julius S. Bendat |
| collection | DOAJ |
| description | This article reviews some recent and current research work with emphasis on new recommended spectral techniques that can analyze and identify the optimum linear and nonlinear system properties in a large class of single-input/single-output nonlinear models by using experimentally measured input/output random data. This is done by showing how to replace these nonlinear models with equivalent multiple-input/single-output linear models that are solvable by well-established practical procedures. The input random data can have probability density functions that are Gaussian or non-Gaussian with arbitrary spectral properties. Results in this article prove that serious errors can occur when conventional linear model analysis procedures are used to determine the physical properties of nonlinear systems. |
| format | Article |
| id | doaj-art-ebf26446f4724e1081da0308eddc45d1 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 1993-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-ebf26446f4724e1081da0308eddc45d12025-02-03T05:54:13ZengWileyShock and Vibration1070-96221875-92031993-01-0111213110.3233/SAV-1993-1104Spectral Techniques for Nonlinear System Analysis and IdentificationJulius S. Bendat0J. S. Bendat Company, 833 Moraga Drive, Los Angeles, CA 90049, USAThis article reviews some recent and current research work with emphasis on new recommended spectral techniques that can analyze and identify the optimum linear and nonlinear system properties in a large class of single-input/single-output nonlinear models by using experimentally measured input/output random data. This is done by showing how to replace these nonlinear models with equivalent multiple-input/single-output linear models that are solvable by well-established practical procedures. The input random data can have probability density functions that are Gaussian or non-Gaussian with arbitrary spectral properties. Results in this article prove that serious errors can occur when conventional linear model analysis procedures are used to determine the physical properties of nonlinear systems.http://dx.doi.org/10.3233/SAV-1993-1104 |
| spellingShingle | Julius S. Bendat Spectral Techniques for Nonlinear System Analysis and Identification Shock and Vibration |
| title | Spectral Techniques for Nonlinear System Analysis and Identification |
| title_full | Spectral Techniques for Nonlinear System Analysis and Identification |
| title_fullStr | Spectral Techniques for Nonlinear System Analysis and Identification |
| title_full_unstemmed | Spectral Techniques for Nonlinear System Analysis and Identification |
| title_short | Spectral Techniques for Nonlinear System Analysis and Identification |
| title_sort | spectral techniques for nonlinear system analysis and identification |
| url | http://dx.doi.org/10.3233/SAV-1993-1104 |
| work_keys_str_mv | AT juliussbendat spectraltechniquesfornonlinearsystemanalysisandidentification |