activity
20162019
most citedThe Lower Bound Error for polynomial NARMAX using an Arbitrary Number of Natural Interval Extensions

3 citations · 6 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SY2019

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

W. R. Lacerda Junior, S. A. M. Martins, E. G. Nepomuceno

This work presents a new meta-heuristic approach to model structure selection of polynomial NARX models. In this respect, the technique penalizes the models based on the individual…

eess.SP2018

Interval Simulation of Narmax Models Based on Computer Arithmetic

P. F. S. Guedes, M. L. C. Peixoto, O. A. R. O. Freitas +3

System identification is an important area of science, which aims to describe the characteristics of the system, representing them by mathematical models. Since many of these model…

eess.SP2017

Synchronization on the accuracy of chaotic oscillators simulations

Gabriel H. A. Silva, Igor C. Silva, Wilson R. L. Junior +3

Numerical problems are considered on general synchronization of chaotic oscillators, through the evaluation of the Lower Bound Error index on two case studies: a Lorenz system unid…

eess.SP2017

Note on improvement precision of recursive function simulation in floating point standard

Melanie R. Silva, Erivelton G. Nepomuceno, Samir A. M. Martins

An improvement on precision of recursive function simulation in IEEE floating point standard is presented. It is shown that the average of rounding towards negative infinite and ro…

eess.SP2017

Chaos suppression of Lorenz Systems by means on the average of rounding modes

Melanie R. Silva, Erivelton G. Nepomuceno, Samir A. M. Martins

This work deals with chaos suppression based on average of the rounded modes to negative and positive infinite. The present procedure acts to reduce the rounding errors. It was obs…

eess.SP2017

Incorporating Numerical Uncertainties for Validation of Nonlinear Models

Igor C. Silva, Gabriel H. A. Silva, Samir A. M. Martins +1

This paper proposes a model validation method that incorporates error due to numerical procedures. Two identified models for Sine Map and Duffing-Ueda Circuit systems have been inv…

eess.SP2017★ 3 cited

The Lower Bound Error for polynomial NARMAX using an Arbitrary Number of Natural Interval Extensions

Priscila F. S. Guedes, M. L. C. Peixoto, A. M. Barbosa +2

The polynomial NARMAX (Nonlinear AutoRegressive Moving Average model with eXogenous input) is a model that represents the dynamics of physical systems. This polynomial contains inf…

eess.SY2017★ 1 cited

Analysis of RLD Circuit by means of Phase Space with a non-ideal diode model

Marcia L. C. Peixoto, Erivelton G. Nepomuceno, Samir A. M. Martins

In this work the non-linear and chaotic behaviour for the RLD circuit is analysed, which is modelled by state space and numerically simulated considering the diode model an associa…

eess.SY2017

Identification of Dynamic Systems with Interval Arithmetic

Márcia L. C. Peixoto, Marco T. R. Matos, Wilson R. Lacerda Júnior +2

This paper aims to identify three electrical systems: a series RLC circuit, a motor/generator coupled system, and the Duffing-Ueda oscillator. In order to obtain the system's model…

math.NA2016★ 1 cited

Simulation of Dynamical Systems with Interval Analysis: A case study of RLC Circuit

M. L. C. Peixoto, E. G. Nepomuceno, H. M. Rodrigues +2

Differences between computer simulation of dynamical systems and laboratory experiments are common in teaching and research in engineering. Normally, numerical inaccuracy and the n…

math.NA2016★ 1 cited

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

B. C. Silva, F. L. Milani, E. G. Nepomuceno +2

Computational techniques are extensively applied in nonlinear science. However, while the use of computers for research has been expressive, the evaluation of numerical results doe…