Víctor Estrada-Manzo - researchr alias

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Viewing Publication 1 - 8 from 8

2022

H∞ control of event-triggered quasi-LPV systems based on an exact discretization approach - A linear matrix inequality approachVíctor C. S. Campos, Luciano Frezzatto, Tiago G. de Oliveira, Víctor Estrada-Manzo, Márcio F. Braga. jfi, 359(2):870-898, 2022. [doi]

2021

Actuator fault estimation based on a proportional-integral observer with nonquadratic Lyapunov functionsJ. Guzman, Francisco-Ronay López-Estrada, Víctor Estrada-Manzo, Guillermo Valencia-Palomo. ijsysc, 52(9):1938-1951, 2021. [doi]

An exact handling of the gradient for overcoming persistent problems in nonlinear observer design via convex optimization techniquesDaniel Quintana, Víctor Estrada-Manzo, Miguel Bernal. fss, 416:125-140, 2021. [doi]

2020

A Novel Identification-Based Convex Control Scheme via Recurrent High-Order Neural Networks: An Application to the Internal Combustion EngineCarlos Armenta, Thomas Laurain, Víctor Estrada-Manzo, Miguel Bernal. npl, 51(1):303-324, 2020. [doi]

Exact Takagi-Sugeno descriptor models of recurrent high-order neural networks for control applicationsCarlos Armenta, Miguel Bernal, Víctor Estrada-Manzo, Antonio Sala 0001. cam, 39(1), 2020. [doi]

2019

Convex Stability Analysis of Nonlinear Singular Systems via Linear Matrix InequalitiesJuan Carlos Arceo, Marcelino Sanchez, Víctor Estrada-Manzo, Miguel Bernal. tac, 64(4):1740-1745, 2019. [doi]

2018

Stabilization of Nonlinear Singular Systems via Takagi-Sugeno Models and Robust DifferentiatorsJuan Carlos Arceo, Raymundo Márquez, Víctor Estrada-Manzo, Miguel Bernal. ijfs, 20(5):1451-1459, 2018. [doi]

2014

An LMI approach for observer design for Takagi-Sugeno descriptor modelsVíctor Estrada-Manzo, Thierry-Marie Guerra, Zsófia Lendek. aqtr 2014: 1-5 [doi]

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