Considerations Regarding Minimal Fuzzy Logic Algorithms

Abstract

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.