Erivelton Geraldo Nepomuceno

Orcid: 0000-0002-5841-2193

According to our database1, Erivelton Geraldo Nepomuceno authored at least 55 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Transfer Reinforcement Learning for Combinatorial Optimization Problems.
Algorithms, 2024

Engineering and Technology Applications of Control Co-Design: A Survey.
IEEE Access, 2024

Exploring Control Co-Design's Versatility in System Optimisation: A Case Study of DC Motors.
Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

LQR and Genetic Algorithms: An Effective Duo for Assessing Control Expenditure and Performance in Dynamic Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
Reinforcement learning for control design of uncertain polytopic systems.
Inf. Sci., May, 2023

Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks.
J. Intell. Inf. Syst., April, 2023

A New Chaos-Based PRNG Hardware Architecture Using the HUB Fixed-Point Format.
IEEE Trans. Instrum. Meas., 2023

Design of an Advanced System-on-Chip Architecture for Chaotic Image Encryption.
Proceedings of the 36th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, 2023

Efficiency and Sustainability in Simulation: Enhancing Accuracy of Chaotic Maps Using Kahan Summation.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

Enhancing Real-world Inverted Pendulum Stabilization: Addressing External Perturbations with Feedback and Model Predictive Control.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

2022
Effective computational discretization scheme for nonlinear dynamical systems.
Appl. Math. Comput., 2022

Numerical Integration Schemes Based on Composition of Adjoint Multistep Methods.
Algorithms, 2022

Denoising Chaotic Signals Using Ensemble Intrinsic Time-Scale Decomposition.
IEEE Access, 2022

2021
Application of Optimal Control of Infectious Diseases in a Model-Free Scenario.
SN Comput. Sci., 2021

Detection of Hidden Oscillations in Systems Without Equilibrium.
Int. J. Bifurc. Chaos, 2021

Meta-Model Structure Selection: Building Polynomial NARX Model for Regression and Classification.
CoRR, 2021

Hybrid Method Based on NARX models and Machine Learning for Pattern Recognition.
CoRR, 2021

New technique to quantify chaotic dynamics based on differences between semi-implicit integration schemes.
Commun. Nonlinear Sci. Numer. Simul., 2021

A new floating-point adder FPGA-based implementation using RN-coding of numbers.
Comput. Electr. Eng., 2021

A New PRNG Hardware Architecture Based on an Exponential Chaotic Map.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
Tuning of reinforcement learning parameters applied to SOP using the Scott-Knott method.
Soft Comput., 2020

A Note on the Reproducibility of Chaos Simulation.
Entropy, 2020

Some Remarks about Entropy of Digital Filtered Signals.
Entropy, 2020

Image encryption based on flexible computing of chaotic systems.
CoRR, 2020

2019
Chaotic Oscillators as Inductive Sensors: Theory and Practice.
Sensors, 2019

Soft Computing Simulations of Chaotic Systems.
Int. J. Bifurc. Chaos, 2019

Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm.
Entropy, 2019

The Effects of Padé Numerical Integration in Simulation of Conservative Chaotic Systems.
Entropy, 2019

Modelagem de Sistemas Audiométricos Usando Técnicas de Computação Flexível.
CoRR, 2019

Identificação de Sistemas Não Lineares Utilizando o Algoritmo Híbrido e Binário de Otimização por Enxame de Partículas e Busca Gravitacional.
CoRR, 2019

Simplification of the digital representation of the tent map through biased fixed point.
CoRR, 2019

Some remarks on the performance of Matlab, Python and Octave in simulating dynamical systems.
CoRR, 2019

On the reliability of computational chaos-based cryptography for information exchange.
CoRR, 2019

Simulation Reproducibility of a Chaotic Circuit.
CoRR, 2019

Computation of the largest Lyapunov exponent using recursive estimation with variable factor.
CoRR, 2019

A novel method for structure selection of the Recurrent Random Neural Network using multiobjective optimisation.
Appl. Soft Comput., 2019

Control of Hysteretic Systems Through an Analytical Inverse Compensation Based on a NARX Model.
IEEE Access, 2019

2018
Inconsistencies in Numerical Simulations of Dynamical Systems Using Interval Arithmetic.
Int. J. Bifurc. Chaos, 2018

Image Encryption Algorithm Using Natural Interval Extensions.
CoRR, 2018

Reducing vaccination level to eradicate a disease by means of a mixed control with isolation.
Biomed. Signal Process. Control., 2018

Detecting unreliable computer simulations of recursive functions with interval extensions.
Appl. Math. Comput., 2018

Interval computing periodic orbits of maps using a piecewise approach.
Appl. Math. Comput., 2018

2017
Analysis of RLD Circuit by means of Phase Space with a non-ideal diode model.
CoRR, 2017

Implementation of the Logistic Map with FPGA using 32 bits fixed point standard.
CoRR, 2017

Identification of Dynamic Systems with Interval Arithmetic.
CoRR, 2017

2016
A Very Simple Method to Calculate the (Positive) Largest Lyapunov Exponent Using Interval Extensions.
Int. J. Bifurc. Chaos, 2016

Revisiting Hammel et al. (1987): Does the shadowing property hold for modern computers?
CoRR, 2016

2014
Multiobjective learning in the random neural network.
Int. J. Adv. Intell. Paradigms, 2014

Self-Governance by Transfiguration: From Learning to Prescription Changes.
Proceedings of the Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2014

Heuristic to tune the compensation gain of modeling uncertainties through the robust multi inversion.
Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014

2010
Robust D-stabilization with minimization of the '∞-guaranteed cost for uncertain discrete-time systems with multiple delays in the state.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2007
Multiobjective parameter estimation for non-linear systems: affine information and least-squares formulation.
Int. J. Control, 2007

2005
Application of Genetic Programming for Fine Tuning PID Controller Parameters Designed Through Ziegler-Nichols Technique.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Multiobjective nonlinear system identification: a case study with thyristor controlled series capacitor (TCSC).
Int. J. Syst. Sci., 2004

2003
Nonlinear Identification Using Prior Knowledge of Fixed Points: a Multiobjective Approach.
Int. J. Bifurc. Chaos, 2003


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