( en | de | ru )

 

Disambiguation of "Sánchez, Edgar N."

Author of the publication

copydeleteadd this publication to your clipboard
Decentralized adaptive recurrent neural control structure.

, , and . Eng. Appl. Artif. Intell., 20 (8): 1125-1132 (2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

David Sánchez Sánchez

Antonia Sánchez

Yerson Sánchez

Nydia Sánchez

David Sánchez

 

Other publications of authors with the same name

Soft Margin Training for Associative Memories: Application to Fault Diagnosis in Fossil Electric Power Plants., , and . Soft Computing for Hybrid Intelligent Systems, volume 154 of Studies in Computational Intelligence, Springer, (2008)Trajectory Tracking on Complex Networks Via Inverse Optimal Pinning Control., , , , , and . IEEE Trans. Automat. Contr., 64 (2): 767-774 (2019)Design of a smart grid management system with renewable energy generation., , , and . CIASG, page 147-150. IEEE, (2011)Fuzzy control structure for an anaerobic fluidised bed., , and . Int. J. Control, 85 (12): 1898-1912 (2012)Neuro-fuzzy control strategy for methane production in an anaerobic process., , and . IJCNN, page 1-8. IEEE, (2013)Neural network identification for biomass gasification kinetic model., , and . IJCNN, page 1888-1893. IEEE, (2011)3D modeling of virtualized reality objects using neural computing., , , and . IJCNN, page 2191-2198. IEEE, (2011)Discrete-Time Neural Sliding-Mode Block Control for a DC Motor With Controlled Flux., , , and . IEEE Trans. Ind. Electron., 59 (2): 1194-1207 (2012)Dynamic triangular neural controller for stepper motor trajectory tracking., , and . IEEE Trans. Syst. Man Cybern. Part C, 32 (1): 24-30 (2002)Trajectory Tracking on Uncertain Complex Networks via NN-Based Inverse Optimal Pinning Control., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (3): 854-864 (2020)