Marcos Angel Gonzalez-Olvera

Orcid: 0000-0001-8174-4391

According to our database1, Marcos Angel Gonzalez-Olvera authored at least 14 papers between 2007 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
How to Deal with Parameter Estimation in Continuous-Time Stochastic Systems.
Circuits Syst. Signal Process., 2022

2021
Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables.
Comput. Methods Programs Biomed., 2021

2019
Rapid automatic identification of parameters of the Bergman Minimal Model in Sprague-Dawley rats with experimental diabetes for adaptive insulin delivery.
Comput. Biol. Medicine, 2019

2018
Contraction-Based Identification of a Neuron Model with Nonlinear Parameterization via Synchronization.
Proceedings of the 15th International Conference on Electrical Engineering, 2018

2016
Identification of incommensurate state-space fractional systems.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

2015
Identification of nonlinear discrete systems by a state-space recurrent neurofuzzy network with a convergent algorithm.
Neurocomputing, 2015

2013
Identification of first-order hammerstein systems and its application to a simple neural mass model for parkinson's disease treatment.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2011
Modelling of a traffic cell based on a recurrent-neural network.
Int. J. Model. Identif. Control., 2011

2010
Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network.
IEEE Trans. Neural Networks, 2010

A Discrete-Time Recurrent Neurofuzzy Network for Black-Box Modeling of insulin Dynamics in Diabetic Type-1 Patients.
Int. J. Neural Syst., 2010

2009
Indentificación de sistemas no lineales mediante redes neurodifusas recurrentes
PhD thesis, 2009

Black-box modeling of a 2-DOF manipulator in the image plane using recurrent neurofuzzy networks.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Identification of a class of nonlinear systems by a continuous-time recurrent neurofuzzy network.
Proceedings of the American Control Conference, 2009

2007
A new recurrent neurofuzzy network for identification of dynamic systems.
Fuzzy Sets Syst., 2007


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