3 citations · 3 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…