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Joel Gurubel
Joel Gurubel
Centro Universitario de Tonalá
Verified email at cutonala.udg.mx
Title
Cited by
Cited by
Year
A neural observer with time-varying learning rate: analysis and applications
KJ Gurubel, AY Alanis, EN Sánchez, S Carlos-Hernandez
International journal of neural systems 24 (01), 1450011, 2014
172014
Neural forecasting and optimal sizing for hybrid renewable energy systems with grid-connected storage system
KJ Gurubel, V Osuna-Enciso, JJ Cardenas, A Coronado-Mendoza, ...
Journal of Renewable and Sustainable Energy 8 (4), 2016
162016
Neuronal modeling of a two stages anaerobic digestion process for biofuels production
SUA Camberos, KJ Gurubel, EN Sanchez, SA Aguirre, RG Perez
IFAC-PapersOnLine 51 (13), 408-413, 2018
102018
Optimal control strategy based on neural model of nonlinear systems and evolutionary algorithms for renewable energy production as applied to biofuel generation
KJ Gurubel, V Osuna-Enciso, A Coronado-Mendoza, E Cuevas
Journal of Renewable and Sustainable Energy 9 (3), 2017
82017
Inverse optimal neural control via passivity approach for nonlinear anaerobic bioprocesses with biofuels production
KJ Gurubel, EN Sanchez, A Coronado‐Mendoza, V Zuniga‐Grajeda, ...
Optimal Control Applications and Methods 40 (5), 848-858, 2019
62019
A comparative study of temperature optimal control in a solid state fermentation process for edible mushroom growing
KJ Gurubel, A Sanchez, A Coronado-Mendoza, EN Sanchez
Chemical and Biochemical Engineering Quarterly 31 (1), 101-114, 2017
32017
PSO hybrid intelligent inverse optimal control for an anaerobic process
KJ Gurubel, EN Sanchez, S Carlos-Hernandez, F Ornelas-Tellez
2013 IEEE Congress on Evolutionary Computation, 876-883, 2013
32013
Artificial neural networks based on nonlinear bioprocess models for predicting wastewater organic compounds and biofuel production
KJ Gurubel, EN Sanchez, R González, HC y León, R Recio
Artificial Neural Networks for Engineering Applications, 79-96, 2019
22019
Optimal Neural Control of A Two Stages Anaerobic Digestion Model for Biofuels Production
KJ Gurubel, EN Sanchez, A Coronado, V Zúñga, B Sulbaran
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
22018
Integrated hybrid intelligent control scheme for methane production in an anaerobic process
KJ Gurubel, EN Sanchez, S Carlos-Hernandez, F Ornelas-Tellez, ...
Intelligent Automation & Soft Computing 20 (2), 297-315, 2014
12014
Neuro-fuzzy control strategy for methane production in an anaerobic process
KJ Gurubel, EN Sanchez, S Carlos-Hernandez
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
12013
Speed-gradient inverse optimal neural control for anaerobic digestion processes
KJ Gurubel, EN Sanchez, S Carlos-Hernández, F Ornelas-Tellez
World Automation Congress 2012, 1-6, 2012
12012
Dynamic learning rate (ηD) for recurrent high order neural observer (RHONO): Anaerobic process application
KJ Gurubel, EN Sanchez, S Carlos-Hernandez
The 2011 International Joint Conference on Neural Networks, 1782-1787, 2011
12011
Online Manuscript Access
KJ Gurubel, EN Sanchez, S Carlos-Hernandez, F Ornelas-Tellez, ...
2014
Hybrid Intelligent Inverse Optimal Control forMethane Production in an Anaerobic Process
KJ Gurubel, F Ornelas-Tellez, EN Sanchez, S Carlos-Hernandez
Chemical and Biochemical Engineering Quarterly 27 (2), 197-210, 2013
2013
Control Neuronal Óptimo inverso con Gradiente de Velocidad para Regular la Producción de Metano en un Proceso de Digestión Anaeróbica
KJ Gurubel, EN Sánchez, S Carlos-Hernández, F Ornelas
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