Anahí Flores-Pérez
Anahí Flores-Pérez
Sonstige NamenAnahi Flores-Perez, A Flores-Perez
Professor, UNAM
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Experimental generation and analysis of first-order TE and TM Bessel modes in free space
A Flores-Pérez, J Hernández-Hernández, R Jáuregui, K Volke-Sepúlveda
Optics letters 31 (11), 1732-1734, 2006
Contraction based adaptive control for a class of nonlinearly parameterized systems
A Flores-Perez, I Grave, Y Tang
2013 American Control Conference, 2649-2654, 2013
Wave fields with a periodic orbital angular momentum gradient along a single axis: a chain of vortices
AO Santillán, K Volke-Sepúlveda, A Flores-Pérez
New Journal of Physics 11 (4), 043004, 2009
Comparative analysis of passive algorithms in adaptive control
A Flores‐Pérez, I Grave, Y Tang
International Journal of Adaptive Control and Signal Processing 28 (10 …, 2014
Identification of nonlinear systems with nonlinear parameterization
A Flores-Perez, I Grave, Y Tang
2015 European Control Conference (ECC), 610-615, 2015
Estimation and indirect adaptive control for nonlinearly parameterized systems
A Flores-Perez, I Grave, Y Tang
2014 European Control Conference (ECC), 2078-2083, 2014
Transverse electric (TE) and transverse magnetic (TM) vector vortices in free-space: analysis and experimental generation
K Volke-Sepulveda, A Flores-Pérez, J Hernández-Hernández, S Hacyan, ...
Laser Beam Shaping VII 6290, 201-209, 2006
Contraction-Based Identification of a Neuron Model with Nonlinear Parameterization via Synchronization
A Flores-Pérez, MA González-Olvera, Y Tang
2018 15th International Conference on Electrical Engineering, Computing …, 2018
Contraction based identification for nonlinear systems
AF Pérez, Y Tang, I Grave
IFAC-PapersOnLine 48 (28), 1190-1195, 2015
Modelofinancieroconanálisisderetardosysu comportamientocaótico
J Salinas-Gutiérrez, MÁ González-Olvera, A Flores-Pérez
Adaptive Observer Design for the Fractional-Order Hindmarsh-Rose Neuron Model
MAG Olvera, A Flores-Pérez, L Torres
Comparative analysis of passive algorithms in adaptive control for a specific application.
AF Pérez, I Grave, Y Tang
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