WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification
Current methods to identify Wiener-Hammerstein systems using Best Linear Approximation (BLA) involve at least two steps. First, BLA is divided into obtaining front and back linear dynamics of the Wiener-Hammerstein model. Second, a refitting procedure of all parameters is carried out to reduce model...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/1753262 |
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| author | J. Zambrano J. Sanchis J. M. Herrero M. Martínez |
| author_facet | J. Zambrano J. Sanchis J. M. Herrero M. Martínez |
| author_sort | J. Zambrano |
| collection | DOAJ |
| description | Current methods to identify Wiener-Hammerstein systems using Best Linear Approximation (BLA) involve at least two steps. First, BLA is divided into obtaining front and back linear dynamics of the Wiener-Hammerstein model. Second, a refitting procedure of all parameters is carried out to reduce modelling errors. In this paper, a novel approach to identify Wiener-Hammerstein systems in a single step is proposed. This approach is based on a customized evolutionary algorithm (WH-EA) able to look for the best BLA split, capturing at the same time the process static nonlinearity with high precision. Furthermore, to correct possible errors in BLA estimation, the locations of poles and zeros are subtly modified within an adequate search space to allow a fine-tuning of the model. The performance of the proposed approach is analysed by using a demonstration example and a nonlinear system identification benchmark. |
| format | Article |
| id | doaj-art-00dbe9002fbb4023878e840a7be62916 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-00dbe9002fbb4023878e840a7be629162025-02-03T06:47:53ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/17532621753262WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System IdentificationJ. Zambrano0J. Sanchis1J. M. Herrero2M. Martínez3Universidad Politécnica Salesiana, Cuenca, EcuadorInstituto Universitario de Automática e Informática Industrial, Universitat Politecnica de Valencia, València, SpainInstituto Universitario de Automática e Informática Industrial, Universitat Politecnica de Valencia, València, SpainInstituto Universitario de Automática e Informática Industrial, Universitat Politecnica de Valencia, València, SpainCurrent methods to identify Wiener-Hammerstein systems using Best Linear Approximation (BLA) involve at least two steps. First, BLA is divided into obtaining front and back linear dynamics of the Wiener-Hammerstein model. Second, a refitting procedure of all parameters is carried out to reduce modelling errors. In this paper, a novel approach to identify Wiener-Hammerstein systems in a single step is proposed. This approach is based on a customized evolutionary algorithm (WH-EA) able to look for the best BLA split, capturing at the same time the process static nonlinearity with high precision. Furthermore, to correct possible errors in BLA estimation, the locations of poles and zeros are subtly modified within an adequate search space to allow a fine-tuning of the model. The performance of the proposed approach is analysed by using a demonstration example and a nonlinear system identification benchmark.http://dx.doi.org/10.1155/2018/1753262 |
| spellingShingle | J. Zambrano J. Sanchis J. M. Herrero M. Martínez WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification Complexity |
| title | WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification |
| title_full | WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification |
| title_fullStr | WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification |
| title_full_unstemmed | WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification |
| title_short | WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification |
| title_sort | wh ea an evolutionary algorithm for wiener hammerstein system identification |
| url | http://dx.doi.org/10.1155/2018/1753262 |
| work_keys_str_mv | AT jzambrano wheaanevolutionaryalgorithmforwienerhammersteinsystemidentification AT jsanchis wheaanevolutionaryalgorithmforwienerhammersteinsystemidentification AT jmherrero wheaanevolutionaryalgorithmforwienerhammersteinsystemidentification AT mmartinez wheaanevolutionaryalgorithmforwienerhammersteinsystemidentification |