Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison

Modern automation systems largely rely on closed loop control, wherein a controller interacts with a controlled process via actions, based on observations. These systems are increasingly complex, yet most deployed controllers are linear Proportional-Integral-Derivative (PID) controllers. PID control...

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Detalles Bibliográficos
Autores principales: Günther, Johannes, Reichensdörfer, Elias, Pilarski, Patrick M., Diepold, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728174/
https://www.ncbi.nlm.nih.gov/pubmed/33301494
http://dx.doi.org/10.1371/journal.pone.0243320

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728174/
https://www.ncbi.nlm.nih.gov/pubmed/33301494
http://dx.doi.org/10.1371/journal.pone.0243320

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