Gerardo M. Mendez
Orcid: 0000-0002-2526-1448
According to our database1,
Gerardo M. Mendez
authored at least 38 papers
between 2005 and 2024.
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Bibliography
2024
Lyapunov's stability analysis for first degree polynomial systems, subject to risk-sensitive control.
Math. Comput. Simul., 2024
2023
A New Method for the Design of Interval Type-3 Fuzzy Logic Systems With Uncertain Type-2 Non-Singleton Inputs (IT3 NSFLS-2): A Case Study in a Hot Strip Mill.
IEEE Access, 2023
Optimal Risk Sensitive Controller Design Applied to a Stochastic Dynamics of a Simple Pendulum Robot.
Proceedings of the 20th International Conference on Electrical Engineering, 2023
2020
Dynamic adaptation of the PID's gains via Interval type-1 non-singleton type-2 fuzzy logic systems whose parameters are adapted using the backpropagation learning algorithm.
Soft Comput., 2020
2017
A Singleton Type-1 Fuzzy Logic Controller for On-Line Error Compensation During Robotic Welding.
Int. J. Comput. Commun. Control, 2017
A PID Using a Non-singleton Fuzzy Logic System Type 1 to Control a Second-Order System.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017
PID Implemented by a Type-1 Fuzzy Logic System with Back-Propagation Algorithm for Online Tuning of Its Gains.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017
2016
Proceedings of the Advances in Soft Computing, 2016
2015
A hybrid learning method composed by the orthogonal least-squares and the back-propagation learning algorithms for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic systems.
Soft Comput., 2015
2014
A Comparative Study of Type 1 Singleton Fuzzy Logic Systems in Machining Application.
Res. Comput. Sci., 2014
Sistema inteligente para procesamiento de imágenes en control de calidad basado en el modelo difuso singleton tipo 1.
Res. Comput. Sci., 2014
Orthogonal-least-squares and backpropa- gation hybrid learning algorithm for interval A2-C1 singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems.
Int. J. Hybrid Intell. Syst., 2014
Finishing mill strip gage setup and control by interval type-1 non-singleton type-2 fuzzy logic systems.
Appl. Soft Comput., 2014
Appl. Soft Comput., 2014
2013
Hybrid learning mechanism for interval A2-C1 type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems.
Inf. Sci., 2013
Intelligent hybrid-learning mechanism for IT2 TSK NSFLS2 composed by REFIL-BP methods.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
Computación y Sistemas, 2012
2011
Interval singleton type-2 TSK fuzzy logic systems using orthogonal least-squares and backpropagation methods as hybrid learning mechanism.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011
2010
Interval type-1 non-singleton type-2 fuzzy logic systems are type-2 adaptive neuro-fuzzy inference systems.
Int. J. Reason. based Intell. Syst., 2010
Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010
Interval type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems using the hybrid learning mechanism recursive-least-square and back-propagation methods.
Proceedings of the 11th International Conference on Control, 2010
Type-1 Non-singleton Type-2 Takagi-Sugeno-Kang Fuzzy Logic Systems Using the Hybrid Mechanism Composed by a Kalman Type Filter and Back Propagation Methods.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
2009
Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems.
Proceedings of the Evolutionary Design of Intelligent Systems in Modeling, 2009
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009
Hybrid learning for interval type-2 fuzzy logic systems based on orthogonal least-squares and back-propagation methods.
Inf. Sci., 2009
Application of Interval Type-2 Fuzzy Logic Systems for Control of the Coiling Entry Temperature in a Hot Strip Mill.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
2008
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
2007
Interval Type-1 Non-singleton Type-2 TSK Fuzzy Logic Systems Using the Hybrid Training Method RLS-BP.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007
Modelling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems.
Eng. Lett., 2007
Modelling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems [Application Notes].
IEEE Comput. Intell. Mag., 2007
Interval Type-1 Non-Singleton Type-2 TSK Fuzzy Logic Systems Using the Hybrid Training Method RLS-BP.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
J. Intell. Fuzzy Syst., 2006
Control. Intell. Syst., 2006
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006
First-order interval type-1 non-singleton type-2 TSK fuzzy logic systems.
Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006
Modeling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005