Parametric estimation for wiener-hammerstein models by the recursive instrumental variable method

机译：递归工具变量法对维纳-哈默斯坦模型进行参数估计

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This document aims to solve the parametric estimation problem of nonlinear time-varying systems modeled by Wiener-Hammerstein models (W-H) with unknown time-varying parameters. A recursive instrumental variable estimation method is developed in order to estimate the parameters of the considered blocks-oriented models despite the existence of a correlated noise with observations. The estimation method is based on the least square technique. Furthermore, an example is devoted to appear and justify the availability of the detailed and proposed method.

机译：本文旨在解决由具有未知时变参数的Wiener-Hammerstein模型（W-H）建模的非线性时变系统的参数估计问题。为了估计所考虑的面向块的模型的参数，尽管存在与观测值相关的噪声，但开发了一种递归的工具变量估计方法。估计方法基于最小二乘技术。此外，示例专门用于显示和证明详细和建议的方法的可用性。

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《International Conference on Sciences and Techniques of Automatic Control and Computer Engineering》|2016年|711-716|共6页
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Marai Ghanmi Afef; Salhi Houda; Hajji Sofien; Kamoun Samira;
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Mathematical model; Estimation; Instruments; Nonlinear systems; Computational modeling; Prediction algorithms; Predictive models;

机译：数学模型;估计;仪器;非线性系统;计算模型;预测算法;预测模型;

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3. NON-PARAMETRIC ESTIMATION OF THE FREQUENCY-RESPONSE FUNCTIONS OF THE LINEAR BLOCKS OF A WIENER-HAMMERSTEIN MODEL [J] . Vandersteen G., Schoukens J., Rolain Y. Automatica . 1997,第7期

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Parametric estimation for wiener-hammerstein models by the recursive instrumental variable method

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