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Lizeth Torres
Lizeth Torres
Research Professor @ IIUNAM
Verified email at iingen.unam.mx
Title
Cited by
Cited by
Year
Fractional Liénard type model of a pipeline within the fractional derivative without singular kernel
JF Gómez-Aguilar, L Torres, H Yépez-Martínez, D Baleanu, JM Reyes, ...
Advances in Difference Equations 2016 (1), 1-13, 2016
1032016
A numerical solution for a variable-order reaction–diffusion model by using fractional derivatives with non-local and non-singular kernel
A Coronel-Escamilla, JF Gómez-Aguilar, L Torres, RF Escobar-Jiménez
Physica A: Statistical Mechanics and its Applications 491, 406-424, 2018
972018
Modeling and monitoring of pipelines and networks
C Verde, L Torres
[Informe], 2017
702017
Leak diagnosis in pipelines using a combined artificial neural network approach
EJ Pérez-Pérez, FR López-Estrada, G Valencia-Palomo, L Torres, V Puig, ...
Control Engineering Practice 107, 104677, 2021
682021
A collocation model for water-hammer dynamics with application to leak detection
L Torres, G Besancon, D Georges
2008 47th IEEE Conference on Decision and Control, 3890-3894, 2008
582008
Parameterized transient model of a pipeline for multiple leaks location
C Verde, L Molina, L Torres
Journal of loss Prevention in the Process Industries 29, 177-185, 2014
572014
Synchronization of chaotic systems involving fractional operators of Liouville–Caputo type with variable-order
A Coronel-Escamilla, JF Gómez-Aguilar, L Torres, RF Escobar-Jiménez, ...
Physica A: Statistical Mechanics and its Applications 487, 1-21, 2017
552017
Liénard type model of fluid flow in pipelines: Application to estimation
L Torres, G Besançon, C Verde
2015 12th International Conference on Electrical Engineering, Computing …, 2015
552015
Examples of pipeline monitoring with nonlinear observers and real-data validation
L Torres, G Besançon, D Georges, A Navarro, O Begovich
552011
Fractional derivatives with mittag-leffler kernel
JF Gómez, L Torres, RF Escobar
Springer International Publishing, 2019
532019
Online leak diagnosis in pipelines using an EKF-based and steady-state mixed approach
I Santos-Ruiz, JR Bermúdez, FR López-Estrada, V Puig, L Torres, ...
Control Engineering Practice 81, 55-64, 2018
482018
High‐gain observers for leak location in subterranean pipelines of liquefied petroleum gas
L Torres, C Verde, G Besançon, O González
International Journal of Robust and Nonlinear Control 24 (6), 1127-1141, 2014
442014
Decentralized scheme for leaks’ location in a branched pipeline
C Verde, L Torres, O González
Journal of loss prevention in the process industries 43, 18-28, 2016
372016
A robust nonlinear observer for real-time attitude estimation using low-cost MEMS inertial sensors
JF Guerrero-Castellanos, H Madrigal-Sastre, S Durand, L Torres, ...
Sensors 13 (11), 15138-15158, 2013
372013
About friction modeling for observer-based leak estimation in pipelines
JF Dulhoste, G Besancon, L Torres, O Begovich, A Navarro
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
352011
Modeling and simulation of a hydraulic network for leak diagnosis
JR Bermúdez, FR López-Estrada, G Besançon, G Valencia-Palomo, ...
Mathematical and computational applications 23 (4), 70, 2018
332018
Implementation of a fault tolerant system for the internal combustion engine’s MAF sensor
PG León, J García-Morales, RF Escobar-Jiménez, JF Gómez-Aguilar, ...
Measurement 122, 91-99, 2018
332018
Multi-leak estimator for pipelines based on an orthogonal collocation model
L Torres, G Besancon, D Georges
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009
322009
Observer synthesis for a class of Takagi–Sugeno descriptor system with unmeasurable premise variable. Application to fault diagnosis
FR López-Estrada, CM Astorga-Zaragoza, D Theilliol, JC Ponsart, ...
International Journal of Systems Science 48 (16), 3419-3430, 2017
312017
Kalman filters for leak diagnosis in pipelines: Brief history and future research
L Torres, J Jiménez-Cabas, O González, L Molina, FR López-Estrada
Journal of Marine Science and Engineering 8 (3), 173, 2020
292020
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