Estimation of non-integer order model based on least-squares technique and instrumental variables: Hn model

A. Khadhraoui, K. Jelassi, J. Trigeassou
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Abstract

This contribution has as its goal to identify of fractional order systems using least-squares (LS) and instrumental variable (IV) technique. System estimation can be considered as a necessary step in control theory. We introduce, in this paper, a new technique that permits us to estimate non-integer model. This method employs a linearization technique to find a linear equation, and then estimates unknown parameters using least squares approach. In noisy output context, this method offers a biased estimation; the proposed solution is to use a new approach of instrumental variable technique. Different simulations test are presented.
基于最小二乘技术和工具变量的非整数阶模型估计:Hn模型
这一贡献的目标是使用最小二乘(LS)和工具变量(IV)技术识别分数阶系统。系统估计是控制理论的一个必要步骤。本文介绍了一种新的估计非整数模型的方法。该方法首先采用线性化方法求解线性方程,然后利用最小二乘法对未知参数进行估计。在有噪声的输出环境中,该方法提供了有偏估计;提出的解决方案是使用工具变量技术的新方法。给出了不同的仿真试验。
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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