User-Defined Autogenerated Fuzzy Solvers for Embedded Applications

Abstract

A characteristic modern trend in control systems is the use of artificial intelligence methods (including fuzzy methods) in embedded applications. The presence of limitations in the resources of such systems leads to the need to choose the best combination of fuzzifier, inference system, and defuzzifier, which requires appropriate tools. In this paper, based on the principles of fuzzy logic and fuzzy sets, we propose an integrated development environment (IDE) that generates assembly codes for microcontrollers, which will be used as fuzzy controllers in embedded applications. The user of this IDE will have the option to choose the desired fuzzifier, inference system, and defuzzifier based on the established indicators of accuracy, speed, and the amount of required memory. Our interest is to improve the efficiency of developing systems with fuzzy data processing by creating specialized integrated development environments. An example of the practical implementation of such a tool is given in this article.