Wiener-Hammerstein Model Identification-Recursive Algorithms
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概要
- 論文の詳細を見る
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H) models are developed. These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. Convergence conditions of the developed algorithms are established. Numerical results, to test the algorithms and illustrate their estimation accuracy, are given.
- 一般社団法人日本機械学会の論文
- 2002-06-15
著者
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Emara-shabaik Hosam
Systems Engineering Department Kfupm
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Ahmed Mohammed
Systems Engineering Department Kfupm
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AL-AJMI Khaled
Systems Engineering Department, KFUPM
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Al-ajmi Khaled
Systems Engineering Department Kfupm
関連論文
- Parameter Estimation of Wiener-Hammerstein Models
- Wiener-Hammerstein Model Identification-Recursive Algorithms