A discussion on Sugeno fuzzy logic approximations of nonlinear systems

N. Derbel
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引用次数: 2

Abstract

This work is aimed at looking into the use of fuzzy systems for the study of nonlinear systems. In a first step, zero-order and first-order Sugeno fuzzy models are defined as approximators of nonlinear systems. It has been found that zero-order fuzzy systems are equivalent to the classical interpolation approach. Nonlinear terms have been limited by two fuzzy systems. The mean fuzzy system gives good accuracy. As illustrations, some numerical applications have been considered to show the efficiency of the use of fuzzy systems to study nonlinear problems.
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关于非线性系统Sugeno模糊逻辑逼近的讨论
这项工作的目的是探讨使用模糊系统来研究非线性系统。首先,将零阶和一阶Sugeno模糊模型定义为非线性系统的逼近器。研究发现,零阶模糊系统等价于经典的插值方法。非线性项被两个模糊系统所限制。平均模糊系统具有较好的精度。为了说明使用模糊系统研究非线性问题的有效性,本文考虑了一些数值应用。
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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