Development of a Methodology for Dynamic Motor Control with Machine Learning.

Autor: Aguilar Robles, David, del Carmen Santiago Díaz, Ma., Zenteno Vázquez, Ana Claudia, Romero Hernández, Yeiny, Pérez Marcial, Judith, Rubín Linares, Gustavo T.
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Zdroj: International Journal of Combinatorial Optimization Problems & Informatics; Sep-Dec2023, Vol. 14 Issue 3, p42-52, 11p
Abstrakt: In robotics, the challenge of achieving precision in the positional control of various motor systems necessitates the real-time evaluation of multiple variables. This is essential to prevent instability in the robot caused by processing time. This work proposes a methodology grounded in the automatic learning of motor systems. The goal is to generate control actions preemptively, ahead of their measurement and processing. To this end, a secondorder system is proposed, along with its response to disturbances such as step signals. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index