Esteban A. Hernández-Vargas

Orcid: 0000-0002-3645-435X

Affiliations:
  • Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany


According to our database1, Esteban A. Hernández-Vargas authored at least 52 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Modeling human trafficking and the limits of dismantling strategies.
Soc. Netw. Anal. Min., December, 2023

Switched NMPC for epidemiological and social-economic control objectives in SIR-type systems.
Annu. Rev. Control., January, 2023

Computing Control Invariant Sets for Waiting-Time Switched Systems: A Study Case of Glucose Regulation.
IEEE Control. Syst. Lett., 2023

2022
Inverse Optimal Impulsive Neural Control for Complex Networks Applied to Epidemic Diseases.
Syst., 2022

Human Trafficking in Mexico: Data sources, Network Analysis and the Limits of Dismantling Strategies.
CoRR, 2022

Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems.
Autom., 2022

Modelling and Control of Epidemics Across Scales.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Impulsive Neural Control to Schedule Antivirals and Immunomodulators for COVID-19.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Discrete-time super-twisting controller using neural networks.
Neurocomputing, 2021

Discrete-time high-order neural network identifier trained with high-order sliding mode observer and unscented Kalman filter.
Neurocomputing, 2021

Discrete-time MPC for switched systems with applications to biomedical problems.
Commun. Nonlinear Sci. Numer. Simul., 2021

Stability analysis in COVID-19 within-host model with immune response.
Commun. Nonlinear Sci. Numer. Simul., 2021

Computational simulations to dissect the cell immune response dynamics for severe and critical cases of SARS-CoV-2 infection.
Comput. Methods Programs Biomed., 2021

Uncovering antibody cross-reaction dynamics in influenza A infections.
Bioinform., 2021

Third special section on systems and control research efforts against COVID-19 and future pandemics.
Annu. Rev. Control., 2021

Second special section on systems and control research efforts against COVID-19 and future pandemics.
Annu. Rev. Control., 2021

Dynamical characterization of antiviral effects in COVID-19.
Annu. Rev. Control., 2021

Inverse Impulsive Optimal Neural Control for Complex Networks Applied to Epidemic Influenza Type A Model.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

Neural inverse optimal control applied to design therapeutic options for patients with COVID-19.
Proceedings of the International Joint Conference on Neural Networks, 2021

Switching Logistic Maps to Design Cycling Approaches Against Antimicrobial Resistance.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Passivity-Based Inverse Optimal Impulsive Control for Influenza Treatment in the Host.
IEEE Trans. Control. Syst. Technol., 2020

Topological data analysis to model the shape of immune responses during co-infections.
Commun. Nonlinear Sci. Numer. Simul., 2020

A survey of within-host and between-hosts modelling for antibiotic resistance.
Biosyst., 2020

PDEparams: parameter fitting toolbox for partial differential equations in python.
Bioinform., 2020

In-host Mathematical Modelling of COVID-19 in Humans.
Annu. Rev. Control., 2020

First special section on systems and control research efforts against COVID-19 and future pandemics.
Annu. Rev. Control., 2020

Characterization of SARS-CoV-2 dynamics in the host.
Annu. Rev. Control., 2020

2019
The trichotomy of pneumococcal infection outcomes in the Host.
Commun. Nonlinear Sci. Numer. Simul., 2019

Learning neural impulsive MPC for tailoring therapies in viral infections.
Appl. Soft Comput., 2019

A new view of multiscale stochastic impulsive systems for modeling and control of epidemics.
Annu. Rev. Control., 2019

Special section on modeling, identification and control of nonlinear systems.
Annu. Rev. Control., 2019

State Estimation for Stochastic Nonlinear Systems with Applications to Viral Infections.
Proceedings of the 17th European Control Conference, 2019

2018
Neural inverse optimal control for discrete-time impulsive systems.
Neurocomputing, 2018

Discrete-time high order neural network identifier trained with cubature Kalman filter.
Neurocomputing, 2018

Germinal Center Optimization Algorithm.
Int. J. Comput. Intell. Syst., 2018

Discrete-Time Neural Identification of a SIR Epidemic Model.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Recurrent High Order Neural Networks Identification for Infectious Diseases.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Inverse Optimal Impulsive Control for a SIR Epidemic Model.
Proceedings of the 15th International Conference on Electrical Engineering, 2018

2016
A comparative study of differential evolution algorithms for parameter fitting procedures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Reducing complexity: An iterative strategy for parameter determination in biological networks.
Comput. Phys. Commun., 2015

2014
Switching Strategies to Mitigate HIV Mutation.
IEEE Trans. Control. Syst. Technol., 2014

Observers for biological systems.
Appl. Soft Comput., 2014

2013
Optimal therapy scheduling for a simplified HIV infection model.
Autom., 2013

2012
Decentralized discrete-time neural control for a Quanser 2-DOF helicopter.
Appl. Soft Comput., 2012

Sub-optimal switching with dwell time constraints for control of viral mutation.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Computer simulation of structured treatment interruption for HIV infection.
Comput. Methods Programs Biomed., 2011

A mathematical study on immune activation and related dynamics in HIV infection.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Discrete-time recurrent high order neural networks for nonlinear identification.
J. Frankl. Inst., 2010

Dynamic optimization algorithms to mitigate HIV escape.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008
Discrete-time recurrent high order neural observer for activated sludge wastewater treatment.
Proceedings of the International Joint Conference on Neural Networks, 2008

Hybrid Intelligent Control Scheme for Activated Sludge Wastewater Treatment.
Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008

2007
Control properties of thermally coupled distillation sequences for different operating conditions.
Comput. Chem. Eng., 2007


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