分数Hammerstein CAR系统识别

2017 6th International Conference on Systems and Control (ICSC) Pub Date : 2017-05-01 DOI:10.1109/ICOSC.2017.7958743

Karima Hammar, T. Djamah, M. Bettayeb

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引用次数: 3

摘要

鉴定分数Hammerstein控制自回归系统(HCAR)是考虑在这项工作。该系统由一个无记忆非线性子系统和一个分数阶CAR子系统组成。为了估计系统参数和分数阶，提出了一种非线性优化算法。为了说明该方法的有效性，在不同的信噪比下进行了不同的仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fractional Hammerstein CAR system identification

Identification of fractional Hammerstein controlled autoregressive systems (HCAR) is considered in this work. This system consists of a memoryless nonlinear sub-system followed by a fractional CAR subsystem. A nonlinear optimization algorithm is developed in order to estimate the system parameters as well as the fractional order. To illustrate the method efficiency, different simulations are performed at various signal to noise ratios.

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2017 6th International Conference on Systems and Control (ICSC)

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