A methodology to design stable nonlinear fuzzy control systems. - José Manuel Andújar; Antonio J. Barragán (Fuzzy Sets Syst., 2005)

A General and Formal Methodology to Design Stable Nonlinear Fuzzy Control Systems. - José Manuel Andújar Márquez; Antonio Javier Barragán-Piña; Manuel Emilio Gegúndez-Arias (IEEE Trans. Fuzzy Syst., 2009)

A formal methodology for the analysis and design of nonlinear fuzzy control systems. - José Manuel Andújar Márquez; Antonio Javier Barragán-Piña (FUZZ-IEEE, 2010)

Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter. - Antonio Javier Barragán-Piña; José Manuel Andújar Márquez; Mariano J. Aznar Torres; Agustín Jiménez Avello; Basil M. Al-Hadithi (EUSFLAT Conf., 2011)

Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation. - Antonio Javier Barragán-Piña; José Manuel Andújar Márquez; Mariano J. Aznar Torres; Agustín Jiménez Avello; Basil M. Al-Hadithi (EUSFLAT Conf., 2011)

Variable Structure Control with chattering elimination and guaranteed stability for a generalized T-S model. - Basil M. Al-Hadithi; Antonio Javier Barragán-Piña; José Manuel Andújar; Agustín Jiménez (Appl. Soft Comput., 2013)

A general methodology for online TS fuzzy modeling by the extended Kalman filter. - Antonio J. Barragán; Basil Mohammed Al-Hadithi; Agustín Jiménez; José Manuel Andújar (Appl. Soft Comput., 2014)

Chattering-free fuzzy variable structure control for multivariable nonlinear systems. - Basil Mohammed Al-Hadithi; Antonio Javier Barragán-Piña; José Manuel Andújar; Agustín Jiménez (Appl. Soft Comput., 2016)

Integration of Sensors, Controllers and Instruments Using a Novel OPC Architecture. - Isaías González; Antonio José Calderón; Antonio Javier Barragán-Piña; José Manuel Andújar (Sensors, 2017)

About Extracting Dynamic Information of Unknown Complex Systems by Neural Networks. - Eloy Irigoyen; Antonio Javier Barragán-Piña; Mikel Larrea; José Manuel Andújar (Complex., 2018)

Discovering the dynamic behavior of unknown systems using fuzzy logic. - Antonio Javier Barragán-Piña; Juan Manuel Enrique; Antonio José Calderón; José Manuel Andújar Márquez (Fuzzy Optim. Decis. Mak., 2018)

Fuel Cell Output Current Prediction with a Hybrid Intelligent System. - José Luís Casteleiro-Roca; Antonio J. Barragán; Francisca Segura Manzano; José Luís Calvo-Rolle; José Manuel Andújar (Complex., 2019)

Iterative Fuzzy Modeling of Hydrogen Fuel Cells by the Extended Kalman Filter. - Antonio J. Barragán; Juan Manuel Enrique; Francisca Segura Manzano; José Manuel Andújar (IEEE Access, 2020)

Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing. - Juan Ríos; Juan Manuel Enrique; Antonio J. Barragán; José Manuel Andújar (Sensors, 2020)

Extreme learning machine ensemble model for time series forecasting boosted by PSO: Application to an electric consumption problem. - Mikel Larrea; Alain Porto; Eloy Irigoyen; Antonio J. Barragán; José Manuel Andújar (Neurocomputing, 2021)