Design and development of PI controller for DFIG grid integration using neural tuning method ensembled with dense plexus terminals

Research article (Scientific Reports, 2024) · cited 27× · AI/ML
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Design and development of PI controller for DFIG grid integration using neural tuning method ensembled with dense plexus terminals

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Design and development of PI controller for DFIG grid integration using neural tuning method ensembled with dense plexus terminals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Design and development of PI controller for DFIG grid integration using neural tuning method ensembled with dense plexus terminals. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-and-development-of-pi-controller-for-dfig-grid-integration-using-neural-tuning-method-ensembled-with-dense-plexus
MLA “Design and development of PI controller for DFIG grid integration using neural tuning method ensembled with dense plexus terminals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-and-development-of-pi-controller-for-dfig-grid-integration-using-neural-tuning-method-ensembled-with-dense-plexus.
BibTeX @misc{4ortxyz_design-and-development-of-pi-controller-for-dfig-grid-integration-using-neural-tuning-method-ensembled-with-dense-plexus_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design and development of PI controller for DFIG grid integration using neural tuning method ensembled with dense plexus terminals}}, year = {2026}, url = {https://4ort.xyz/entity/design-and-development-of-pi-controller-for-dfig-grid-integration-using-neural-tuning-method-ensembled-with-dense-plexus}, note = {Accessed: 2026-05-24}}
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