13 citations · 18 across the 5 of their papers we have counts for
5 papers
A Python library for nonlinear system identification using Multi-Gene Genetic Programming algorithm
Henrique Carvalho de Castro, Bruno Henrique Groenner Barbosa
Models can be built directly from input and output data trough a process known as system identification. The Nonlinear AutoRegressive with eXogenous inputs (NARMAX) models are amon…
Soft Constrained Autonomous Vehicle Navigation using Gaussian Processes and Instance Segmentation
Bruno H. Groenner Barbosa, Neel P. Bhatt, Amir Khajepour +1
This paper presents a generic feature-based navigation framework for autonomous vehicles using a soft constrained Particle Filter. Selected map features, such as road and landmark…
Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization
Gustavo Alves Prudencio de Morais, Lucas Barbosa Marcos, Filipe Marques Barbosa +3
The ability to deal with systems parametric uncertainties is an essential issue for heavy self-driving vehicles in unconfined environments. In this sense, robust controllers prove…
Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems
Bruno Henrique Groenner Barbosa, Nan Xu, Hassan Askari +1
Understanding the dynamic behavior of tires and their interactions with road plays an important role in designing integrated vehicle control strategies. Accordingly, having access…
Including steady-state information in nonlinear models: an application to the development of soft-sensors
Leandro Freitas, Bruno H. G. Barbosa, Luis A. Aguirre
When the dynamical data of a system only convey dynamic information over a limited operating range, the identification of models with good performance over a wider operating range…