应用扩展卡尔曼滤波自适应模糊系统参数的方法

EUSFLAT Conf. Pub Date : 2011-08-06 DOI:10.2991/eusflat.2011.65

Antonio Javier Barragán-Piña, J. Márquez, Mariano J. Aznar Torres, A. Jiménez, B. M. Al-Hadithi

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引用次数: 3

摘要

当我们试图分析和控制一个仅根据输入/输出数据获得模型的系统时，模型的准确性至关重要。另一方面，为了使该过程实用，建模阶段必须具有计算效率。在这方面，本文提出了扩展卡尔曼滤波在模糊模型参数自适应中的应用。

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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Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter

When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this regard, this paper presents the application of extended Kalman filter for the parametric adaptation of a fuzzy model.

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EUSFLAT Conf.

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