Current - Issue

1. Denai, M., & Attia, S. (2002). Fuzzy and neural control of an induction motor. International Journal of Applied Mathematics and Computer
Science, 12(2), 221–233. (European Digital Mathematics Library)
2. Lin, F., Wai, R. J., Chou, W. D., & Hsu, S. P. (2009). Artificial intelligence-based speed control of DTC induction motor drives—A
comparative study. Electric Power Systems Research, 79(1), 210–219. (ScienceDirect)
3. Szoke, E., Szabo, C., & Pintilie, L.-N. (2025). Artificial intelligence-based sensorless control of induction motors with dual-field
orientation. Applied Sciences, 15(16), 8919. (MDPI)
4. Research (2023). An in-depth review of intelligent electric drive control systems and artificial intelligence. ResearchGate Publication.
(ResearchGate)
5. Research on hybrid AI models (2023). A review on soft computing techniques used in induction motor drives. Semantic Scholar PDF.
(Semantic Scholar)
6. Intelligent motor drive systems for electric vehicles: energy-efficient control of induction machines using field-oriented strategies. (2025).
TRID Database. (TRID)
7. Application of artificial intelligence-based technique in electric motors: A review. (2023). University Review PDF. (White Rose Research
Online)
8. Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers (2025). Prime Journal.
(ScienceDirect)
9. Hybrid control of the three-phase induction machine using ANN and fuzzy logic. (2017). Applied Soft Computing, 55, 289–301.
(ScienceDirect)
10. Artificial Intelligence in Electric Machine Drives: Advances and Trends (2021). ArXiv PDF. (arXiv)
11. Neural network applications in electrical drives—trends in control. (2022). Energies, 16(11). (MDPI)
12. Purwanto, E., Ashary, M., Subagio, S., & Purnomo, M. H. (2008). The development of inverter fuzzy logic control for induction motor
control in electric vehicles. Makara Journal of Technology. (Scholar Hub)
13. Particle swarm optimized fuzzy controller for indirect vector control of multilevel inverter fed induction motor. (2014). ArXiv. (arXiv)
14. Intelligent controller development for high-performance electric drives using hybrid optimization. (2025). Nature Scientific Reports.
(Nature)
15. Performance analysis of speed control of induction motor using various AI techniques. (2023). IJERD PDF. (ijerd.com)
16. ANFIS integrated augmented MRAS for sensorless vector-controlled induction motor drives. (2024). MethodsX. (ScienceDirect)
17. Review of neural network based machine learning approaches for rotor angle stability control. (2017). ArXiv. (arXiv)
18. Marcelo Godoy Simões. (n.d.). Contributions to fuzzy logic and neural networks in motor drives. Wikipedia. (Wikipedia)
19. Advanced control of induction motors (2019–2025). (2025). ScienceDirect Review. (ScienceDirect)
20. Electrical and Electronics Engineering Journal (2014). Modeling and direct torque control of induction motor using hybrid control
technique. (wireilla.com)
21. Bose, B. K. (2009). Modern power electronics and AC drives. Prentice Hall.
22. Chatterjee, A., Siarry, P., & Nakib, A. (2018). Intelligent Water Drop algorithm: A survey. Swarm and Evolutionary Computation, 42, 1–
14. https://doi.org/10.1016/j.swevo.2018.02.003
23. Ehsani, M., Gao, Y., Longo, S., & Ebrahimi, K. (2018). Modern electric, hybrid electric, and fuel cell vehicles (3rd ed.). CRC Press.
24. Holtz, J. (2002). Sensorless control of induction motor drives. Proceedings of the IEEE, 90(8), 1359–1394.
https://doi.org/10.1109/JPROC.2002.800726
25. Shahriar, M. S., Habibullah, M., & Mekhilef, S. (2017). Intelligent control techniques for induction motor drives—A review. Renewable
and Sustainable Energy Reviews, 78, 1022–1039. https://doi.org/10.1016/j.rser.2017.04.056
26. Vas, P. (1998). Sensorless vector and direct torque control. Oxford University Press.