Jesica Escobar
Jesica Escobar
Instituto Politécnico Nacional E.S.I.M.E.
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Optimization problems in chemical reactions using continuous-time Markov chains
L Carrillo, JA Escobar, JB Clempner, AS Poznyak
Journal of Mathematical Chemistry 54, 1233-1254, 2016
Sliding modes time varying matrix identification for stochastic system
A Poznyak, J Escobar, Y Shtessel
International journal of systems science 38 (11), 847-859, 2007
Identification of parameters in dynamic systems via sliding-mode techniques
A Poznyak, Y Shtessel, L Fridman, J Davila, J Escobar
Advances in Variable Structure and Sliding Mode Control, 313-347, 2006
Stochastic sliding modes identification
AS Poznyak, JA Escobar, YB Shtessel
International Workshop on Variable Structure Systems, 2006. VSS'06., 226-231, 2006
Benefits of variable structure techniques for parameter estimation in stochastic systems using least squares method and instrumental variables
J Escobar, A Poznyak
International Journal of Adaptive Control and Signal Processing 29 (8), 1038 …, 2015
Time-varying matrix estimation in stochastic continuous-time models under coloured noise using LSM with forgetting factor
J Escobar, A Poznyak
International journal of systems science 42 (12), 2009-2020, 2011
Rapid automatic identification of parameters of the Bergman Minimal Model in Sprague-Dawley rats with experimental diabetes for adaptive insulin delivery
AG Gallardo-Hernández, MA González-Olvera, C Revilla-Monsalve, ...
Computers in biology and medicine 108, 242-248, 2019
Time-varying parameter estimation under stochastic perturbations using LSM
J Escobar
IMA Journal of Mathematical Control and Information 29 (2), 235-258, 2012
Robust continuous-time matrix estimation under dependent noise perturbations: Sliding modes filtering and LSM with forgetting
J Escobar, A Poznyak
Circuits, Systems & Signal Processing 28, 257-282, 2009
Parameter identification of a permanent magnet synchronous motor
N Lozada-Castillo, I Chairez, A Luviano-Juarez, J Escobar
53rd IEEE Conference on Decision and Control, 1005-1010, 2014
Robust parametric identification for ARMAX models with non-Gaussian and coloured noise: A survey
J Escobar, A Poznyak
Mathematics 10 (8), 1291, 2022
Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables
LA Arriaga-Pizano, MA Gonzalez-Olvera, EA Ferat-Osorio, J Escobar, ...
Computer Methods and Programs in Biomedicine 210, 106366, 2021
Instrumental variables and LSM in continuous-time parameter estimation
J Escobar, M Enqvist
ESAIM: Control, Optimisation and Calculus of Variations 23 (2), 427-442, 2017
Minimally-Invasive and Efficient Method to Accurately Fit the Bergman Minimal Model to Diabetes Type 2
AG Gallardo-Hernández, MA González-Olvera, M Castellanos-Fuentes, ...
Cellular and Molecular Bioengineering 15 (3), 267-279, 2022
Stackelberg–Nash equilibrium in a traffic control problem at an intersection on a priority road
S Moya, J Escobar
IMA Journal of Mathematical Control and Information 32 (1), 161-194, 2015
Continuous-time identification using LS-method under colored noise perturbations
J Escobar, A Poznyak
2007 46th IEEE Conference on Decision and Control, 5516-5521, 2007
How to Deal with Parameter Estimation in Continuous-Time Stochastic Systems
J Escobar, AG Gallardo-Hernandez, MA Gonzalez-Olvera
Circuits, Systems, and Signal Processing 41 (4), 2338-2357, 2022
On the detection of nonlinearities in sampled data
J Escobar, M Enqvist
IFAC Proceedings Volumes 45 (16), 1587-1592, 2012
Parametric identification of ARMAX models with unknown forming filters
J Escobar, A Poznyak
IMA Journal of Mathematical Control and Information 39 (1), 171-184, 2022
Time-varying parameter estimation in continuous-time under colored perturbations using “equivalent control concept” and LSM with forgetting factor
J Escobar, A Poznyak
2010 11th International Workshop on Variable Structure Systems (VSS), 209-214, 2010
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