Autores
Juarez Lora Jorge Alejandro
Sossa Azuela Juan Humberto
Ponce Ponce Victor Hugo
Rubio Espino Elsa
Barrón Fernández Ricardo
Título Spiking Neural Network Implementation of LQR Control on an Underactuated System
Tipo Revista
Sub-tipo De difusión
Descripción Research in Computing Science
Resumen This writing presents an architecture proposal designed to implement a control loop in a mobile-wheeled under-actuated inverted pendulum system, using spiking neural networks, linear quadratic regulator control technique, and a neural framework that allows us to define the neuron ensembles specification to represent specific control signals.
Observaciones
Lugar Ciudad de México
País Mexico
No. de páginas 147-156
Vol. / Cap. v. 150 no. 11
Inicio 2021-11-01
Fin
ISBN/ISSN