Single-Neuron Adaptive Hysteresis Compensation of Piezoelectric Actuator Based on Hebb Learning Rules

This paper presents an adaptive hysteresis compensation approach for a piezoelectric actuator (PEA) using single-neuron adaptive control. For a given desired trajectory, the control input to the PEA is dynamically adjusted by the error between the actual and desired trajectories using Hebb learning...

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Detalles Bibliográficos
Autores principales: Qin, Yanding, Duan, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019309/
https://www.ncbi.nlm.nih.gov/pubmed/31940914
http://dx.doi.org/10.3390/mi11010084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019309/
https://www.ncbi.nlm.nih.gov/pubmed/31940914
http://dx.doi.org/10.3390/mi11010084

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