非归一化模糊集隶属函数在自动控制任务中的应用

2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) Pub Date : 2017-10-01 DOI:10.1109/APUAVD.2017.8308798

Alexander Gaisha, Elena Gaisha

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引用次数: 0

摘要

提出了利用模糊集不受0 ~ 1限制的隶属函数的命题。建立了在实际控制任务和数据分析任务中，使用隶属度函数值在0到∞范围内是方便的。以船舶稳定器模糊控制系统为例进行了详细的研究。本文可能对希望模糊控制系统考虑到输入变量可能的异常值，但在日常工作中保持在合理范围内的工程师有用。

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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Use of non-normalized fuzzy sets membership functions in automated control tasks

Proposition to use membership functions of fuzzy sets without limitation between 0 and 1 is presented. It is established that there are real control tasks and data analysis tasks in which it is expedient to use membership function values from 0 to infinity. Example with ship stabilizer fuzzy control system is considered in detail. Article may be useful for engineers who want their fuzzy control systems take into account possible extraordinary values of input variables, but in its everyday work remained within the reasonable ranges of values.

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2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)

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