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

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作者

Ahmed Bennaoui¹ , AISSA AMEUR¹ , SLAMI SAADI²

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

会议/活动

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

海报摘要

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.

关键词

Membership functions, MFO, Fuzzy controller, Nonlinear systems

研究领域

Electrical Engineering, Energy Engineering

参考文献

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基金

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补充材料

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附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

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

知识共享许可协议

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.