A new recurrent neurofuzzy network for identification of dynamic systems MA Gonzalez-Olvera, Y Tang Fuzzy sets and systems 158 (10), 1023-1035, 2007 | 36 | 2007 |
Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network MA Gonzalez-Olvera, Y Tang IEEE transactions on neural networks 21 (4), 672-679, 2010 | 34 | 2010 |
A discrete-time recurrent neurofuzzy network for black-box modeling of insulin dynamics in diabetic type-1 patients MA González-Olvera, AG Gallardo-Hernández, Y Tang, ... International Journal of Neural Systems 20 (02), 149-158, 2010 | 33 | 2010 |
Time fractional diffusion equation for shipping water events simulation MA González-Olvera, L Torres, JV Hernández-Fontes, E Mendoza Chaos, Solitons & Fractals 143, 110538, 2021 | 15 | 2021 |
Minimally-Invasive and Efficient Method to Accurately Fit the Bergman Minimal Model to Diabetes Type 2 AG Gallardo-Hernández, MA González-Olvera, M Castellanos-Fuentes, ... Cellular and Molecular Bioengineering 15 (3), 267-279, 2022 | 10 | 2022 |
Fractional order system identification by a genetic algorithm MA González-Olvera, Y Tang, G Navarro-Guerrero Memorias del Congreso Nacional de Control Automático, 304-308, 2015 | 9 | 2015 |
Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables LA Arriaga-Pizano, MA Gonzalez-Olvera, EA Ferat-Osorio, J Escobar, ... Computer Methods and Programs in Biomedicine 210, 106366, 2021 | 8 | 2021 |
Rapid automatic identification of parameters of the Bergman Minimal Model in Sprague-Dawley rats with experimental diabetes for adaptive insulin delivery AG Gallardo-Hernández, MA González-Olvera, C Revilla-Monsalve, ... Computers in biology and medicine 108, 242-248, 2019 | 8 | 2019 |
Identification of a class of nonlinear systems by a continuous-time recurrent neurofuzzy network MA Gonzalez-Olvera, Y Tang 2009 American Control Conference, 3567-3572, 2009 | 8 | 2009 |
Contraction analysis for fractional-order nonlinear systems MA González-Olvera, Y Tang Chaos, Solitons & Fractals 117, 255-263, 2018 | 7 | 2018 |
Identification of nonlinear discrete systems by a state-space recurrent neurofuzzy network with a convergent algorithm MA González-Olvera, Y Tang Neurocomputing 148, 318-325, 2015 | 7 | 2015 |
Modelling of a traffic cell based on a recurrent-neural network MA Gonzalez-Olvera, Y Tang, L Alvarez-Icaza International Journal of Modelling, Identification and Control 13 (4), 259-268, 2011 | 6 | 2011 |
Identification and control of nonlinear dynamic systems via a constrained input-output neurofuzzy network MA Gonzalez-Olvera, Y Tang, G Tao, J Sun Advances in Control Systems Theory and Applications, 2008 | 5 | 2008 |
A continuous-time recurrent neurofuzzy network for black-box modeling of insulin dynamics in diabetic type-1 patients MA González-Olvera, AG Gallardo-Hernández, Y Tang, ... Advances in Computational Intelligence, 219-228, 2009 | 4 | 2009 |
Nonlinear system identification and control using an input-output recurrent neurofuzzy network Y Tang, MÁ González-Olvera IFAC Proceedings Volumes 41 (2), 7480-7485, 2008 | 4 | 2008 |
How to deal with parameter estimation in continuous-time stochastic systems J Escobar, AG Gallardo-Hernandez, MA Gonzalez-Olvera Circuits, Systems, and Signal Processing 41 (4), 2338-2357, 2022 | 3 | 2022 |
Black-box modeling of a 2-DOF manipulator in the image plane using recurrent neurofuzzy networks MA Gonzalez-Olvera, ÁL Rodríguez-Morales, Y Tang Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 3 | 2009 |
Characterizing water-on-deck propagation with a nonlinear advection-diffusion equation MA González-Olvera, L Torres, JVH Fontes, E Mendoza Journal of the Brazilian Society of Mechanical Sciences and Engineering 44 …, 2022 | 2 | 2022 |
On the Evolution of Different Types of Green Water Events—Part II: Applicability of a Convolution Approach JVH Fontes, E Mendoza, R Silva, ID Hernández, MA González-Olvera, ... Water 14 (4), 510, 2022 | 2 | 2022 |
Minimum Energy Conformations of Self-Interacting Polymer Chains via Multipopulation Genetic Algorithms (MpGA) L Olivares-Quiroz, MA González-Olvera COMMUNICATIONS IN COMPUTATIONAL PHYSICS 24 (3), 810-829, 2018 | 2 | 2018 |