Design of parametric estimation algorithm for Hammerstein-Wiener mathematical models
| Autor: | Yassine Koubaa, Mourad Elloumi, Abdessattar Chaari, Saif Eddine Abouda |
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| Rok vydání: | 2019 |
| Předmět: |
021110 strategic
defence & security studies Mathematical model Computer science 05 social sciences 0211 other engineering and technologies 0507 social and economic geography Process (computing) 02 engineering and technology Recursive extended least squares 050701 cultural studies Fuzzy logic Nonlinear system Parametric estimation Hydraulic machinery Algorithm |
| Zdroj: | 2019 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). |
| DOI: | 10.1109/sta.2019.8717256 |
| Popis: | In this document, we study the nonlinear stochastic system represented by Hammerstein- Wiener mathematical models. The Recursive Extended Least Squares (RELS) based on fuzzy technique is also used to estimate the parameters of the considered model. Moreover, nonlinear hydraulic process simulations are introduced to evaluate the efficiency of the developed method. |
| Databáze: | OpenAIRE |
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