Moth-Flame Optimizer Algorithm For Optimal Of Fuzzy Logic Controller for nonlinear system

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Authors

Ahmed Bennaoui¹ , AISSA AMEUR¹ , SLAMI SAADI²

1. University of Amar Telidji, Laghouat
2. University of Djelfa

Conference / event

6th International Conference on Artificial Intelligence in Renewable Energetic Systems, February 2023 (Tamanrasset, Algeria)

Poster summary

The Moth-Flame Optimizer Algorithm (MFO) is one of the modern meta-heuristic optlmlzation techniques . In this paper, The Moth-Flame Optimizer algorithm has been utilized to find the optimal parameters of membership functions of fuzzy logic controller for nonlinear systems. The results demonstrated that producing optimum membership functions by Moth-flame optimization algorithm gives better performances.

Keywords

Membership functions, MFO, Fuzzy controller, Nonlinear systems

Research areas

Electrical Engineering, Energy Engineering

References

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Funding

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Supplemental files

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Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2023 Bennaoui et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.