关于最小模糊逻辑算法的考虑

2018 International Conference and Exposition on Electrical And Power Engineering (EPE) Pub Date : 2018-10-01 DOI:10.1109/ICEPE.2018.8559853

Cristina Vatavu

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引用次数: 0

摘要

由于需要减少内存和处理能力的要求，以实现具有满足任何类型过程的稳定时间的专用结构，这导致了模糊逻辑最小控制算法的发展。一个最小的方法应用于所有三个组件:模糊化，决策和去模糊化接口级别。所得到的算法具有规范化的结构，因此具有通用性。在这些条件下，它的评估包括通过改变最小算法的参数(放大因子)来分析控制系统的性能。

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Considerations Regarding Minimal Fuzzy Logic Algorithms

The need to reduce memory and processing power requirements in order to achieve implementations of dedicated structures with satisfying settling times for any type of process has lead to the development of the fuzzy logic minimal control algorithm. A minimal approach is applied to all three components: fuzzification, decision and defuzzification interface levels. The obtained algorithm has a normalized, and thus versatile, structure. In these conditions its evaluation consists of the analysis of the performance of a control system obtained by varying the parameters (amplifying factors) of the minimal algorithm.

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2018 International Conference and Exposition on Electrical And Power Engineering (EPE)

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