Identification of a Benchmark Wiener–Hammerstein: A bilinear and Hammerstein–Bilinear model approach
In this paper the Wiener–Hammerstein Benchmark is identified as a bilinear discrete system. The bilinear approximation relies on both facts that the Wiener–Hammerstein system can be described by a Volterra series which can be approximated by bilinear systems. The identification is performed with an...
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| Veröffentlicht in: | Control engineering practice 2012-11, Vol.20 (11), p.1156-1164 |
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| creator | Lopes dos Santos, P. A. Ramos, José Martins de Carvalho, J.L. |
| description | In this paper the Wiener–Hammerstein Benchmark is identified as a bilinear discrete system. The bilinear approximation relies on both facts that the Wiener–Hammerstein system can be described by a Volterra series which can be approximated by bilinear systems. The identification is performed with an iterative bilinear subspace identification algorithm previously proposed by the authors. In order to increase accuracy, polynomial static nonlinearities were added to the bilinear model input. These Hammerstein type bilinear models are then identified using the same iterative subspace identification algorithm. |
| doi_str_mv | 10.1016/j.conengprac.2012.04.002 |
| format | Article |
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| language | eng |
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| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Algorithms Approximation Benchmarking Bilinear systems Discrete systems Iterative methods Mathematical analysis Mathematical models Nonlinear systems Sate-space models Subspace methods Subspaces System identification |
| title | Identification of a Benchmark Wiener–Hammerstein: A bilinear and Hammerstein–Bilinear model approach |
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