Cargando…
Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor
Automated industrial processes require a controller to obtain an output signal similar to the reference indicated by the user. There are controllers such as PIDs, which are efficient if the system does not change its initial conditions. However, if this is not the case, the controller must be retune...
Autores principales: | Alejandro-Sanjines, Ulbio, Maisincho-Jivaja, Anthony, Asanza, Victor, Lorente-Leyva, Leandro L., Peluffo-Ordóñez, Diego H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527306/ https://www.ncbi.nlm.nih.gov/pubmed/37754185 http://dx.doi.org/10.3390/biomimetics8050434 |
Ejemplares similares
-
MILimbEEG: A dataset of EEG signals related to upper and lower limb execution of motor and motor imagery tasks
por: Asanza, Víctor, et al.
Publicado: (2023) -
Identification of Lower-Limb Motor Tasks via Brain–Computer Interfaces: A Topical Overview
por: Asanza, Víctor, et al.
Publicado: (2022) -
A 3D Printed, Bionic Hand Powered by EMG Signals and Controlled by an Online Neural Network
por: Avilés-Mendoza, Karla, et al.
Publicado: (2023) -
DC motors speed controls servo systems: an engineering handbook
por: Electro-Craft. Hopkins
Publicado: (1973) -
Dynamic Modeling of a Proton-Exchange Membrane Fuel Cell Using a Gaussian Approach
por: González-Castaño, Catalina, et al.
Publicado: (2021)