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Biography

I was born in Jalisco (México) on January 19th, 1995. I took a bachelor's degree in Electronic Engineering at Instituto Tecnológico de Ciudad Guzmán (February 2019), and a master of science degree in robotic and advanced manufacturing at CINVESTAV Saltillo (August 2021). I am currently studying for a Ph.D. in Robotics and Advanced Manufacturing at CINVESTAV, Saltillo. My topics of interest are Data-driven, adaptive, and model-free control.

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Education and qualifications (3)

CINVESTAV Departamento de Robótica y Manufactura Avanzada: Ramos Arizpe, Coahuila, MX

2021-09-03 to 2025-08-30 | Doctor of Sciences (Robótica y Manufactura Avanzada)
Education
Source: Self-asserted source
Miriam Flores-Padilla

Cinvestav: Departamento de Robótica y Manufactura Avanzada: Ramos Arizpe, Coahuila, MX: Ramos Arizpe, Coahuila, MX

2019-09-01 to 2021-08-17 | Master of Science (Robótica y Manufactura Avanzada)
Education
Source: Self-asserted source
Miriam Flores-Padilla

Instituto Tecnológico de Ciudad Guzmán: Cd. Guzman, Jalisco, MX

2013-08-01 to 2018-07-31 | Electronic engineering (Department of Electrical and Electronics)
Education
Source: Self-asserted source
Miriam Flores-Padilla

Works (3)

Data-Driven Adaptive Controller Based on Hyperbolic Cost Function for Non-Affine Discrete-Time Systems with Variant Control Direction

Applied System Innovation
2024-04 | Journal article | Author
DOI: 10.3390/asi7030038
Contributors: Miriam Flores-Padilla; Chidentree Treesatayapun
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

Adaptive controller based on the affine equivalent model with disturbance rejection for discrete-time switched systems

International Journal of Systems Science
2023-12-10 | Journal article
DOI: 10.1080/00207721.2023.2268238
Contributors: Miriam Flores-Padilla; Chidentree Treesatayapun
Source: check_circle
Crossref

Affine equivalent model based on data-driven fuzzy rules for a class of discrete-time adaptive controller

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
2021-07-11 | Conference paper
DOI: 10.1109/fuzz45933.2021.9494551
Source: Self-asserted source
Miriam Flores-Padilla

Peer review (2 reviews for 1 publication/grant)

Review activity for Neural computing & applications. (2)
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