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User-Defined Autogenerated Fuzzy Solvers for Embedded Applications

Year 2023, Volume: 24, 110 - 118, 30.11.2023

Alexei Evgenievich Vassiliev Ye Min Htet Htut Shine Anton Victorovich Vegner

https://doi.org/10.55549/epstem.1406249

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.

Keywords

Fuzzy controller Intelligent control system On-board microcontroller Embedded application

References

  • Driankov, D., Hellendoorn, H., & Reinfrank, M. (1993). An introduction to fuzzy control. Springer eBooks.
  • Ghosh, S., & Dubey, S. K. (2013). Comparative analysis of K-Means and fuzzy C-Means algorithms. International Journal of Advanced Computer Science and Applications, 4(4).
  • Grum, J. (2008). Book review: Fuzzy controller design, theory and applications by Z. Kovacic and S. Bogdan. International Journal of Microstructure and Materials Properties, 3(2-3), 465.

Year 2023, Volume: 24, 110 - 118, 30.11.2023

Alexei Evgenievich Vassiliev Ye Min Htet Htut Shine Anton Victorovich Vegner

https://doi.org/10.55549/epstem.1406249

Abstract

References

  • Driankov, D., Hellendoorn, H., & Reinfrank, M. (1993). An introduction to fuzzy control. Springer eBooks.
  • Ghosh, S., & Dubey, S. K. (2013). Comparative analysis of K-Means and fuzzy C-Means algorithms. International Journal of Advanced Computer Science and Applications, 4(4).
  • Grum, J. (2008). Book review: Fuzzy controller design, theory and applications by Z. Kovacic and S. Bogdan. International Journal of Microstructure and Materials Properties, 3(2-3), 465.
There are 3 citations in total.

Details

Primary Language English
Subjects Software Engineering (Other)
Journal Section Articles
Authors

Alexei Evgenievich Vassiliev

Ye Min Htet

Htut Shine

Anton Victorovich Vegner

Early Pub Date December 18, 2023
Publication Date November 30, 2023
Published in Issue Year 2023 Volume: 24

Cite

APA Vassiliev, A. E., Htet, Y. M., Shine, H., Vegner, A. V. (2023). User-Defined Autogenerated Fuzzy Solvers for Embedded Applications. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 24, 110-118. https://doi.org/10.55549/epstem.1406249
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