Helon V. H. Ayala

Orcid: 0000-0001-5406-3902

According to our database1, Helon V. H. Ayala authored at least 38 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
A Comparative Analysis of HDL and HLS for Accelerating Machine Learning based Strain Estimation with Ultrasonic Guided Waves.
Proceedings of the XIII Brazilian Symposium on Computing Systems Engineering, 2023

Hierarchical control in skid steer mobile robots with nonholonomics constraints.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

System Identification of an elastomeric series elastic actuator using black-box models.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Black-box Identification with Static Neural Networks of Nonlinearities of an Elastomer-based Elastic Joint Manipulator.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Data-Driven Real-Time Magnetic Tracking Applied to Myokinetic Interfaces.
IEEE Trans. Biomed. Circuits Syst., 2022

Feature engineering to cope with noisy data in sparse identification.
Expert Syst. Appl., 2022

Nonlinear Tire Model Approximation Using Machine Learning for Efficient Model Predictive Control.
IEEE Access, 2022

A comparison of Feature Extraction Methods for Crack and Ice Monitoring in Wind Turbine Blades: System Identification and Matrix Decomposition.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

2021
Machine Learning-Based Corrosion-Like Defect Estimation With Shear-Horizontal Guided Waves Improved by Mode Separation.
IEEE Access, 2021

Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Three-axle vehicle lateral dynamics identification using double lane change maneuvers data.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

2020
An R library for nonlinear black-box system identification.
SoftwareX, 2020

Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks.
Appl. Soft Comput., 2020

Recent Meta-Heuristics Improved by Self-Adaptation Applied to Nonlinear Model-Based Predictive Control.
IEEE Access, 2020

Damage Detection in Composite Plates with Ultrasonic Guided-waves and Nonlinear System Identification.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Slip Estimation with Receding-horizon Strategy for Off-road Vehicles with Nonlinear Tire Interactions.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Bio-inspired optimization algorithms for real underwater image restoration.
Signal Process. Image Commun., 2019

Bio-Inspired Multiojective Tuning of PID-Controlled Antilock Braking Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Genetic Algorithm for Topology Optimization of an Artificial Neural Network Applied to Aircraft Turbojet Engine Identification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Modeling of a 2-DOF Piezoelectric Micromanipulator at High Frequency Rates through Nonlinear Black-box System Identification.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A SVM optimization tool and FPGA system architecture applied to NMPC.
Proceedings of the 30th Symposium on Integrated Circuits and Systems Design: Chip on the Sands, 2017

2016
Nonlinear model predictive control hardware implementation with custom-precision floating point operations.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Short-term load forecasting using wavenet ensemble approaches.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multiobjective wind driven optimization approach applied to transformer design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Image thresholding segmentation based on a novel beta differential evolution approach.
Expert Syst. Appl., 2015

Multi-objective differential evolution algorithm for underwater image restoration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization.
Appl. Math. Comput., 2014

Bat-inspired optimization approach applied to jiles-atherton hysteresis parameters tuning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Cascaded evolutionary multiobjective identification based on correlation function statistical tests for improving velocity analyzes in swimming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

Cascaded free search differential evolution applied to nonlinear system identification based on correlation functions and neural networks.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

2013
Population's variance-based Adaptive Differential Evolution for real parameter optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Tuning of PID controller based on a multiobjective genetic algorithm applied to a robotic manipulator.
Expert Syst. Appl., 2012

Electrical Transmission Lines Design through Integer Multiobjective Particle Swarm Optimization Approach.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Mode-observability conditions for linear and nonlinear systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2010
Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System.
Proceedings of the Multi-Objective Swarm Intelligent Systems - Theory & Experiences, 2010


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