Gerardo M. Mendez

Orcid: 0000-0002-2526-1448

According to our database1, Gerardo M. Mendez authored at least 38 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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
Metaheuristic Hybridized Applied to Solve the Capacity Vehicle Routing Problem.
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

A non-linear fuzzy regression for estimating reliability in a degradation process.
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
Reconocimiento rápido de objetos para tareas de agarre usando robots industriales.
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

IT2 TSK NSFLS2 ANFIS.
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

Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecaster.
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
Interval Type-2 ANFIS.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Hybrid IT2 NSFLS-1 Used to Predict the Uncertain MXNUSD Exchange Rate.
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
Entry temperature prediction of a hot strip mill by a hybrid learning type-2 FLS.
J. Intell. Fuzzy Syst., 2006

Hybrid Learning Algorithm for Interval Type-2 Fuzzy Logic Systems.
Control. Intell. Syst., 2006

First-Order Interval Type-1 Non-singleton Type-2 TSK Fuzzy Logic Systems.
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
Interval Type-2 TSK Fuzzy Logic Systems Using Hybrid Learning Algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005


  Loading...