Development of a Methodology for Dynamic Motor Control with Machine Learning

被引：0

作者：

Robles, David Aguilar ^{[1
]}

Diaz, Ma. del Carmen Santiago ^{[1
]}

Vazquez, Ana Claudia Zenteno ^{[1
]}

Hernandez, Yeiny Romero ^{[1
]}

Marcial, Judith Perez ^{[1
]}

Linares, Gustavo T. Rubin ^{[1
]}

机构：

[1] Benemerita Univ Autonoma Puebla, Puebla, Mexico

来源：

INTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS | 2023年 / 14卷 / 03期

关键词：

Machine learning; dynamic control; intelligent assistants;

D O I：

10.61467/2007.1558.2023.v14i3.406

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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 second -order system is proposed, along with its response to disturbances such as step signals.

引用

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页码：42 / 52

页数：11

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