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A PID Using a Non-singleton Fuzzy Logic System Type 1 to Control a Second-Order System.

D. Reyes, A. Álvarez, E. Rincón, J. Valderrama, P. Noradino, and G. Méndez. NAFIPS, volume 648 of Advances in Intelligent Systems and Computing, page 264-269. Springer, (2017)

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PID Implemented by a Type-1 Fuzzy Logic System with Back-Propagation Algorithm for Online Tuning of Its Gains.A. Álvarez, D. Reyes, E. Rincón, J. Valderrama, P. Noradino, and G. Méndez. NAFIPS, volume 648 of Advances in Intelligent Systems and Computing, page 256-263. Springer, (2017)A PID Using a Non-singleton Fuzzy Logic System Type 1 to Control a Second-Order System.D. Reyes, A. Álvarez, E. Rincón, J. Valderrama, P. Noradino, and G. Méndez. NAFIPS, volume 648 of Advances in Intelligent Systems and Computing, page 264-269. Springer, (2017)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.G. Mendez, and M. de los Angeles Hernandez M.. ICARCV, page 710-714. IEEE, (2010)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.M. de los Angeles Hernandez M., P. Melin, G. Mendez, O. Castillo, and I. López-Juarez. Soft Comput., 19 (3): 661-678 (2015)Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems.G. Mendez, and M. de los Angeles Hernandez Medina. Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control, volume 257 of Studies in Computational Intelligence, Springer, (2009)Modelling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems.M. de los Angeles Hernandez Medina, and G. Mendez. Engineering Letters, 15 (1): 69-72 (2007)Hybrid learning for interval type-2 fuzzy logic systems based on orthogonal least-squares and back-propagation methods.G. Mendez, and M. de los Angeles Hernandez M.. Inf. Sci., 179 (13): 2146-2157 (2009)Interval type-1 non-singleton type-2 fuzzy logic systems are type-2 adaptive neuro-fuzzy inference systems.G. Mendez, and M. de los Angeles Hernandez M.. IJRIS, 2 (2): 95-99 (2010)Hybrid IT2 NSFLS-1 Used to Predict the Uncertain MXNUSD Exchange Rate.G. Mendez, and M. de los Angeles Hernandez M.. HAIS, volume 5271 of Lecture Notes in Computer Science, page 575-582. Springer, (2008)Orthogonal-least-squares and backpropa- gation hybrid learning algorithm for interval A2-C1 singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems.G. Mendez, J. Martinez, D. González, and F. Rendón-Espinoza. Int. J. Hybrid Intell. Syst., 11 (2): 125-135 (2014)