Refined instrumental variable method for Hammerstein-Wiener continuous-time model identification
| العنوان: | Refined instrumental variable method for Hammerstein-Wiener continuous-time model identification |
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| المؤلفون: | Boyi Ni, Hugues Garnier, Marion Gilson |
| المساهمون: | Centre de Recherche en Automatique de Nancy (CRAN), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | IET Control Theory and Applications IET Control Theory and Applications, Institution of Engineering and Technology, 2013, 9 (13), pp.1276-1286. ⟨10.1049/iet-cta.2012.0548⟩ |
| بيانات النشر: | HAL CCSD, 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | 0209 industrial biotechnology, Mathematical optimization, Control and Optimization, Monte Carlo method, Monotonic function, 02 engineering and technology, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 020901 industrial engineering & automation, Control theory, Singular value decomposition, 0202 electrical engineering, electronic engineering, information engineering, Applied mathematics, Electrical and Electronic Engineering, Hammerstein-Wiener process, Mathematics, Instrumental variable, Linear model, System identification, continuous-time model identification, Computer Science Applications, Human-Computer Interaction, Nonlinear system, Identification (information), Control and Systems Engineering, 020201 artificial intelligence & image processing, instrumental variable method |
| الوصف: | International audience; This study presents the first attempt of direct continuous-time model identification using instrumental variable method for Hammerstein-Wiener systems from sampled data. Under the assumption of monotonic function for the Wiener part, the whole non-linear model is first estimated as an augmented multiple-input single-output linear model, from which the model parameters are then extracted by singular value decomposition. A refined instrumental variable method is proposed to consistently identify this non-linear system acting in a coloured noisy environment. Monte Carlo simulation analysis is presented to illustrate the effectiveness of the proposed method. |
| اللغة: | English |
| تدمد: | 1751-8644 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffabef340d0288328662ec2b70414031 https://hal.archives-ouvertes.fr/hal-00920275 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....ffabef340d0288328662ec2b70414031 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17518644 |
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