Miguel Hernández-González

Trans. Inst. Meas. Control, 2025

2024

Neural tracking trajectory of discrete-time nonlinear systems based on an exponential sliding mode algorithm.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., July, 2024

Exponential sliding mode controller for tracking trajectory of nonlinear systems.

[BibT_eX]

[DOI]

Ay Alanis

Jd Rios

Ea Hernadez-Vargas

Trans. Inst. Meas. Control, 2024

2021

Discrete-time estimation of switched stochastic polynomial systems and its application to reconstruction of induction motor variables.

[BibT_eX]

[DOI]

Oleg A. Stepanov

Trans. Inst. Meas. Control, 2021

Smart Railway Operation Aid System for Facilities With Low-Safety Requirements.

[BibT_eX]

[DOI]

Antonio Torralba

María García-Castellano

Francisco Javier Gutierrez-Rumbao

Juan Pablo García-Martín

Ventura Pérez-Mira

Roberto Fernandez-Sanzo

Antonio Jacome-Moreno

IEEE Intell. Transp. Syst. Mag., 2021

Discrete-time super-twisting controller using neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Discrete-time high-order neural network identifier trained with high-order sliding mode observer and unscented Kalman filter.

[BibT_eX]

[DOI]

Neurocomputing, 2021

2020

Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host.

[BibT_eX]

[DOI]

Gustavo Hernandez-Mejia

Rolf Findeisen

IEEE Trans. Control. Syst. Technol., 2020

2019

State Estimation for Stochastic Nonlinear Systems with Applications to Viral Infections.

[BibT_eX]

[DOI]

Gustavo Hernandez-Mejia

Proceedings of the 17th European Control Conference, 2019

2018

State estimation for stochastic polynomial systems with switching in the state equation.

[BibT_eX]

[DOI]

Trans. Inst. Meas. Control, 2018

Discrete-time high order neural network identifier trained with cubature Kalman filter.

[BibT_eX]

[DOI]

Esteban Abelardo Hernández-Vargas

Neurocomputing, 2018

Discrete-time state estimation for stochastic polynomial systems over polynomial observations.

[BibT_eX]

[DOI]

Oleg A. Stepanov

Int. J. Gen. Syst., 2018

2017

Discrete-time controller for stochastic nonlinear polynomial systems with Poisson noises.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2017

Discrete-time controller for stochastic polynomial systems with Poisson noises.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

2016

Discrete-time ℋ<sub>∞</sub> filtering for nonlinear polynomial systems.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2016

2015

Discrete-time ℋ<sub>∞</sub> control for nonlinear polynomial systems.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2015

2014

Discrete-time filtering for nonlinear polynomial systems over linear observations.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2014

Discrete-time optimal control for stochastic nonlinear polynomial systems.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2014

Observers for biological systems.

[BibT_eX]

[DOI]

Esteban Abelardo Hernández-Vargas

Appl. Soft Comput., 2014

2013

Joint state and parameter estimation for uncertain stochastic nonlinear polynomial systems.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2013

Optimal Filtering for Polynomial Systems over Switching Delayed Observations.

[BibT_eX]

[DOI]

Circuits Syst. Signal Process., 2013

Real-time discrete neural identifier for a linear induction motor using a dSPACE DS1104 board.

[BibT_eX]

[DOI]

Jorge D. Rios

Jorge Rivera

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

ℋ∞ Filtering for Polynomial Systems Over Switching Delayed Observations.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2013

2012

Decentralized discrete-time neural control for a Quanser 2-DOF helicopter.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2012

2011

Optimal Controller for Stochastic Polynomial Systems with State-Dependent Polynomial Input.

[BibT_eX]

[DOI]

Circuits Syst. Signal Process., 2011

Discrete-time reduced order neural observer for Linear Induction Motors.

[BibT_eX]

[DOI]

Edgar N. Sánchez

Luis J. Ricalde

Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

Mean-square joint state and parameter estimation for uncertain nonlinear polynomial stochastic systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2011

2010

Mean-square filtering for uncertain linear stochastic systems.

[BibT_eX]

[DOI]

Signal Process., 2010

Mean-square state and noise intensity estimation for uncertain linear systems.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Optimal controller for unmeasured stochastic polynomial system states with state-dependent polynomial input.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2010

2009

HANOIPC3: A computer program to evaluate executive functions.

[BibT_eX]

[DOI]

M. A. Guevara

L. Rizo

M. Ruiz-Díaz

Comput. Methods Programs Biomed., 2009

Optimal filtering for uncertain linear stochastic systems.

[BibT_eX]

[DOI]

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Discrete-time Neural Network Control for a Linear Induction Motor.

[BibT_eX]

[DOI]

Edgar N. Sánchez

Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008

2005

FILDIG: A program to filter brain electrical signals in the frequency domain.

[BibT_eX]

[DOI]

M. A. Guevara

J. Ramos

Maria Corsi-Cabrera

Comput. Methods Programs Biomed., 2005

2003

POTENCOR: a program to calculate power and correlation spectra of EEG signals.

[BibT_eX]

[DOI]

M. A. Guevara

J. Ramos