模糊规则插值算法在不同平台上的实现

Proceedings of the 2015 16th International Carpathian Control Conference (ICCC) Pub Date : 2015-05-27 DOI:10.1109/CARPATHIANCC.2015.7145041

Roland Bartók, J. Vásárhelyi

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引用次数: 7

摘要

本文分析了一种在不同平台上实现的模糊规则插值方法。基于模糊规则插值的控制系统在机器人控制中起着重要的作用，并有多种实现方式。基于模糊规则插值的模糊控制应用。[7]，允许实现几个模糊模型。在模糊控制应用的实际环境中，由于实际的方式和性能问题，完整的规则库并不总是可用的。在这些情况下，基于稀疏规则基模糊模型，只使用可用的周围规则(Kovacs Sz.)[6]来插值结论。如果在控制演化过程中扩展或修改了规则库，那么应该存在一个方法来修改规则库。为此，需要可演化的或运行时可重构的硬件。

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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A fuzzy rule interpolation base algorithm implementation on different platforms

This paper analyses a fuzzy rule interpolation method implemented on different platforms. Fuzzy rule interpolation based control systems play a major role in robot control and have several kinds of implementations. The fuzzy control applications based on fuzzy rule interpolation with the contributions made by Johanyak Cs. [7], allowed the implementation of several fuzzy models. In fuzzy control applications the real environment the complete rule base is not always available due to real manner and performance issues. In these cases, based on a sparse rule base fuzzy model the conclusion is interpolated using only the available surrounding rules (Kovacs Sz.) [6]. If the rule base is extended or modified during the control evolution then there a method should exist to modify the rule base. For this is need evolvable- or run time reconfigurable hardware.

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Proceedings of the 2015 16th International Carpathian Control Conference (ICCC)

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