Switching Learning Law for Differential Neural Observer for Biodegradation Process. - Rita Fuentes; Alejandro García-González; Agustin Cabrera; Tatyana Poznyak; Isaac Chairez 001 (IJCNN, 2006)

New Sliding-Mode Learning Law for Dynamic Neural Network Observer. - Isaac Chairez Oria; Alexander S. Poznyak; Tatyana Poznyak (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

Projectional differential neural network observer with stable adaptation weights. - Alejandro García-González; Alexander S. Poznyak; Isaac Chairez Oria; Tatyana Poznyak (CDC, 2008)

Practical stability analysis for DNN observation. - Isaac Chairez Oria; Alexander S. Poznyak; Tatyana Poznyak (CDC, 2008)

Sliding mode neurocontrol for the class of dynamic uncertain non-linear systems. - Alexander S. Poznyak; Isaac Chairez 001; Tatyana Poznyak (Int. J. Control, 2008)

Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks. - Rita Fuentes; Alexander S. Poznyak; Isaac Chairez 001; Tatyana Poznyak (ICANN (2), 2009)

Neural numerical modeling for uncertain distributed parameter systems. - Rita Fuentes; Alexander S. Poznyak; Isaac Chairez 001; Tatyana Poznyak (IJCNN, 2009)

Robust identification of uncertain nonlinear systems with state constrains by Differential Neural Networks. - Alejandro García-González; Isaac Chairez 001; Alexander S. Poznyak; Tatyana Poznyak (IJCNN, 2009)

Robust identification of uncertain Schrödinger type complex partial differential equations. - Isaac Chairez 001; Rita Fuentes; Alexander S. Poznyak; Tatyana Poznyak (CCE, 2010)

Model predictive control by differential neural networks approach. - Isaac Chairez 001; Alejandro García-González; Alexander S. Poznyak; Tatyana Poznyak (IJCNN, 2010)

Continuous Neural Networks Applied to identify a class of uncertain parabolic Partial differential equations. - Rita Fuentes; Alex Poznyak; Isaac Chairez 001; M. Franco; Tatyana Poznyak (Int. J. Model. Simul. Sci. Comput., 2010)

DNN-state identification of 2D distributed parameter systems. - Isaac Chairez 001; Rita Fuentes; Alexander S. Poznyak; Tatyana Poznyak; Marisol Escudero; Laura Viana (Int. J. Syst. Sci., 2012)

Residence Time Regulation in Chemical Processes: Local Optimal Control Realization by Differential Neural Networks. - Tatyana Poznyak; Isaac Chairez 001; Alexander S. Poznyak (ISNN, 2018)

Estimation of Contaminants Decomposition in Solid Phase with Ozone by Differential Neural Networks with Discontinuous Learning Law. - Tatyana Poznyak; Isaac Chairez 001; Alex Poznyak (VSS, 2018)

Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique. - Isaac Chairez 001; Alexander S. Poznyak; Alexander V. Nazin; Tatyana Poznyak (ISNN (1), 2019)

A survey on artificial neural networks application for identification and control in environmental engineering: Biological and chemical systems with uncertain models. - Alexander S. Poznyak; Isaac Chairez 001; Tatyana Poznyak (Annu. Rev. Control., 2019)

Projectional Observers of Nonlinear Systems With Full-State Constraints. - Alejandro García-González; Alexander S. Poznyak; Isaac Chairez 001; Tatyana Poznyak (IEEE Trans. Circuits Syst., 2020)

Simultaneous state and parameter estimation method for a conventional ozonation system. - Isaac Chairez 001; Asif Chalanga; Alex Poznyak; Sarah K. Spurgeon; Tatyana Poznyak (Comput. Chem. Eng., 2022)

Adaptive modeling of nonnegative environmental systems based on projectional Differential Neural Networks observer. - Isaac Chairez 001; Olga G. Andrianova; Tatyana Poznyak; Alexander S. Poznyak (Neural Networks, 2022)