A new recurrent neurofuzzy network for identification of dynamic systems. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (Fuzzy Sets Syst., 2007)

Identification of a class of nonlinear systems by a continuous-time recurrent neurofuzzy network. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (ACC, 2009)

Black-box modeling of a 2-DOF manipulator in the image plane using recurrent neurofuzzy networks. - Marcos Angel Gonzalez-Olvera; Angel Luis Rodriguez-Morales; Yu Tang 016 (CDC, 2009)

A Discrete-Time Recurrent Neurofuzzy Network for Black-Box Modeling of insulin Dynamics in Diabetic Type-1 Patients. - Marcos Angel Gonzalez-Olvera; Ana Gabriela Gallardo-Hernández; Yu Tang 016; Maria Cristina Revilla-Monsalve; Sergio Islas-Andrade (Int. J. Neural Syst., 2010)

Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (IEEE Trans. Neural Networks, 2010)

Modelling of a traffic cell based on a recurrent-neural network. - Marcos Angel Gonzalez-Olvera; Yu Tang 016; Luis Alvarez-Icaza (Int. J. Model. Identif. Control., 2011)

Contraction based adaptive control for a class of nonlinearly parameterized systems. - A. Flores-Perez; Ileana Grave; Yu Tang 016 (ACC, 2013)

Identification of first-order hammerstein systems and its application to a simple neural mass model for parkinson's disease treatment. - Naybi I. Jimenez; Yu Tang 016; Marcos Angel Gonzalez-Olvera (ICCA, 2013)

Estimation of Indicated Torque for Performance Monitoring in a Diesel Engine. - María de Lourdes Arredondo; Yu Tang 016; Angel Luis Rodriguez-Morales; Saúl Santillán; Rafael Chávez (ISNN (2), 2013)

Estimation and indirect adaptive control for nonlinearly parameterized systems. - A. Flores-Perez; Ileana Grave; Yu Tang 016 (ECC, 2014)

Identification of nonlinear systems with nonlinear parameterization. - A. Flores-Perez; Ileana Grave; Yu Tang 016 (ECC, 2015)

Identification of nonlinear discrete systems by a state-space recurrent neurofuzzy network with a convergent algorithm. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (Neurocomputing, 2015)

A New Observer for Perspective Vision Systems Under Noisy Measurements. - Ileana Grave; Yu Tang 016 (IEEE Trans. Autom. Control., 2015)

Identification of incommensurate state-space fractional systems. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (ICNSC, 2016)

Contraction-Based Identification of a Neuron Model with Nonlinear Parameterization via Synchronization. - Anahi Flores-Perez; Marcos Angel Gonzalez-Olvera; Yu Tang 016 (CCE, 2018)

Nonlinear Observers for a Class of Neuronal Oscillators in the Presence of Strong Measurement Noise. - Julio Pérez; Yu Tang 016; Ileana Grave (ISNN, 2018)