Neural Network Direct Control with Online Learning for Shape Memory Alloy Manipulators

New actuators and materials are constantly incorporated into industrial processes, and additional challenges are posed by their complex behavior. Nonlinear hysteresis is commonly found in shape memory alloys, and the inclusion of a suitable hysteresis model in the control system allows the controlle...

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Detalles Bibliográficos
Autores principales: Gómez-Espinosa, Alfonso, Castro Sundin, Roberto, Loidi Eguren, Ion, Cuan-Urquizo, Enrique, Treviño-Quintanilla, Cecilia D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603747/
https://www.ncbi.nlm.nih.gov/pubmed/31174288
http://dx.doi.org/10.3390/s19112576

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603747/
https://www.ncbi.nlm.nih.gov/pubmed/31174288
http://dx.doi.org/10.3390/s19112576

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