Miguel Hernández-González

According to our database1, Miguel Hernández-González authored at least 28 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Discrete-time super-twisting controller using neural networks.
Neurocomputing, 2021

Discrete-time high-order neural network identifier trained with high-order sliding mode observer and unscented Kalman filter.
Neurocomputing, 2021

2020
Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host.
IEEE Trans. Control. Syst. Technol., 2020

2019
State Estimation for Stochastic Nonlinear Systems with Applications to Viral Infections.
Proceedings of the 17th European Control Conference, 2019

2018
State estimation for stochastic polynomial systems with switching in the state equation.
Trans. Inst. Meas. Control, 2018

Discrete-time high order neural network identifier trained with cubature Kalman filter.
Neurocomputing, 2018

Discrete-time state estimation for stochastic polynomial systems over polynomial observations.
Int. J. Gen. Syst., 2018

2017
Discrete-time controller for stochastic nonlinear polynomial systems with Poisson noises.
Int. J. Syst. Sci., 2017

Discrete-time controller for stochastic polynomial systems with Poisson noises.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

2016
Discrete-time ℋ<sub>∞</sub> filtering for nonlinear polynomial systems.
Int. J. Syst. Sci., 2016

2015
Discrete-time ℋ<sub>∞</sub> control for nonlinear polynomial systems.
Int. J. Gen. Syst., 2015

2014
Discrete-time filtering for nonlinear polynomial systems over linear observations.
Int. J. Syst. Sci., 2014

Discrete-time optimal control for stochastic nonlinear polynomial systems.
Int. J. Gen. Syst., 2014

Observers for biological systems.
Appl. Soft Comput., 2014

2013
Joint state and parameter estimation for uncertain stochastic nonlinear polynomial systems.
Int. J. Syst. Sci., 2013

Optimal Filtering for Polynomial Systems over Switching Delayed Observations.
Circuits Syst. Signal Process., 2013

Real-time discrete neural identifier for a linear induction motor using a dSPACE DS1104 board.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

ℋ∞ Filtering for Polynomial Systems Over Switching Delayed Observations.
Proceedings of the American Control Conference, 2013

2012
Decentralized discrete-time neural control for a Quanser 2-DOF helicopter.
Appl. Soft Comput., 2012

2011
Optimal Controller for Stochastic Polynomial Systems with State-Dependent Polynomial Input.
Circuits Syst. Signal Process., 2011

Discrete-time reduced order neural observer for Linear Induction Motors.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

2010
Mean-square filtering for uncertain linear stochastic systems.
Signal Process., 2010

Mean-square state and noise intensity estimation for uncertain linear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
HANOIPC3: A computer program to evaluate executive functions.
Comput. Methods Programs Biomed., 2009

Optimal filtering for uncertain linear stochastic systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Discrete-time Neural Network Control for a Linear Induction Motor.
Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008

2005
FILDIG: A program to filter brain electrical signals in the frequency domain.
Comput. Methods Programs Biomed., 2005

2003
POTENCOR: a program to calculate power and correlation spectra of EEG signals.
Comput. Methods Programs Biomed., 2003


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