Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning

Research article (Energies, 2023) · cited 20× · AI/ML
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Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning

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Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-tuning-of-fractional-order-sliding-mode-controller-for-pmsm-speed-using-neural-network-with-reinforcement-learni
MLA “Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-tuning-of-fractional-order-sliding-mode-controller-for-pmsm-speed-using-neural-network-with-reinforcement-learni.
BibTeX @misc{4ortxyz_optimal-tuning-of-fractional-order-sliding-mode-controller-for-pmsm-speed-using-neural-network-with-reinforcement-learni_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-tuning-of-fractional-order-sliding-mode-controller-for-pmsm-speed-using-neural-network-with-reinforcement-learni}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning — https://4ort.xyz/entity/optimal-tuning-of-fractional-order-sliding-mode-controller-for-pmsm-speed-using-neural-network-with-reinforcement-learni (retrieved 2026-05-24)

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