类meixner模型的最优展开

2017 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2017-05-01 DOI:10.1109/ICEMIS.2017.8273018

Safa Maraoui, A. Krifa, Kais Bouzrara

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引用次数: 0

摘要

本文主要讨论由类迈克斯纳函数表示的LTI系统的建模和识别。然而，该模型的显着减小取决于米克斯纳极点的最佳选择。提出了一种基于牛顿-拉夫森近似技术和进化方法的迭代算法，用于从输入/输出测量中优化类迈克斯纳极点。通过数值算例验证了该方法的有效性。

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Optimal expansions of Meixner-like model

This article focuses on modeling and identification of a LTI system represented by Meixner-like functions. However a significant reduction of this model is subject to an optimal choice of Meixner-like pole. An iterative algorithm based on the Newton-Raphson's approximation technique and evolutionary method are proposed for the optimization of the Meixner-like pole from input/output measurements. The effectiveness of this method is tested on numerical example.

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2017 International Conference on Engineering & MIS (ICEMIS)

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