Principle and design of fuzzy controller based on fuzzy learning from examples

Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI:10.1109/ICMLC.2002.1167445

Yan Li, M. Ha, Xizhao Wang

引用次数: 2

Abstract

Designs of most present fuzzy controllers depend on personal experiences. However, at some control circumstances, there are not enough or no expert experiences. Thus, most controllers cannot effectively implement the control process because of this dependence. To address the problem, a new kind of fuzzy controller based on fuzzy learning from examples is proposed in this paper. Furthermore, the principle, algorithm, designing method and feasibility analysis of the new fuzzy controller are given. The fuzzy controller features intelligent behaviors. The results of experiments show that the new controllers is effective and efficient when there is short of personal experiences.

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基于实例模糊学习的模糊控制器原理与设计

目前大多数模糊控制器的设计都依赖于个人经验。然而，在某些控制情况下，没有足够的或没有专家经验。因此，由于这种依赖性，大多数控制器不能有效地实现控制过程。针对这一问题，本文提出了一种基于实例模糊学习的模糊控制器。在此基础上，给出了新型模糊控制器的原理、算法、设计方法和可行性分析。模糊控制器具有智能行为。实验结果表明，在缺乏个人经验的情况下，该控制器是有效的。

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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Proceedings. International Conference on Machine Learning and Cybernetics

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