机器人移动问题的几何区间2型模糊逻辑方法

N. Baklouti, A. Alimi
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引用次数: 21

摘要

近年来,二类模糊逻辑系统(FLSs)在处理现实世界动态系统中的模糊性方面表现出了良好的能力。但近年来,模糊逻辑出现了新的发展趋势和理论,提出了几何型-2模糊逻辑方法。该方法的主要思想是使用计算几何对模糊逻辑集进行建模,从而提供更准确的结果和更好的处理模糊性的性能。在本文中,我们研究了几何方法在机器人移动问题中的作用。我们提出了两种控制器:几何区间2型模糊逻辑局部避障控制器和几何区间2型模糊逻辑墙跟随控制器。给出了所得结果并进行了讨论。几何型2型FLSs提供了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The geometric interval type-2 fuzzy logic approach in robotic mobile issue
Recently type-2 Fuzzy logic systems (FLSs) have demonstrated their competence in treating vagueness in real world dynamic systems. But, in the last few years, new trends and theory in Fuzzy Logic have been appeared, proposing the geometric type-2 Fuzzy logic approach. The main idea of this approach was to model fuzzy logic sets using computational geometry providing by this more accurate results and better performance in treating vagueness. Throughout this paper, we study the effect of the geometric approach in robotic mobile issue. We propose two controllers: a geometric interval type-2 fuzzy logic local avoiding obstacles controller and a geometric interval type-2 fuzzy logic wall following controller. The obtained results are presented and are discussed. The geometric type-2 FLSs provide good results…
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