Truncation Error of the Network Simulation Method: Chaotic Dynamical Systems in Mechanical Engineering

This article focuses on the study of local truncation errors (LTEs) in the Network Simulation Method (NSM), specifically when using the trapezoidal method and Gear’s methods. The NSM, which represents differential equations through electrical circuit elements, offers advantages in solving nonlinear dynamic systems such as the van der Pol equation. The analysis compares the performance of these numerical methods in terms of their stability and error minimization, with particular emphasis on LTE. By leveraging circuit-based techniques prior to numerical application, the NSM improves convergence. This study evaluates the impact of step size on LTE and highlights the trade-offs between accuracy and computational cost when using the trapezoidal and Gear methods.

Authors

Institutions

Publication Details

Journal
Mathematics
Published
2024-11-04
DOI
https://doi.org/10.3390/math12213441
Citations
2
Primary Topic
Modeling, Simulation, and Optimization
Type
article
Field-Weighted Citation Impact
2.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Truncation Error of the Network Simulation Method: Chaotic Dynamical Systems in Mechanical Engineering

Javier Mulas-Pérez, Francisco Balibrea, José Andrés Moreno-Nicolás, Joaquín Solano
2 citations
Mathematics
Modeling, Simulation, and Optimization
2.64
article

Truncation Error of the Network Simulation Method: Chaotic Dynamical Systems in Mechanical Engineering

Javier Mulas-Pérez, Francisco Balibrea, José Andrés Moreno-Nicolás, Joaquín Solano
article en
2 citations

Abstract

This article focuses on the study of local truncation errors (LTEs) in the Network Simulation Method (NSM), specifically when using the trapezoidal method and Gear’s methods. The NSM, which represents differential equations through electrical circuit elements, offers advantages in solving nonlinear dynamic systems such as the van der Pol equation. The analysis compares the performance of these numerical methods in terms of their stability and error minimization, with particular emphasis on LTE. By leveraging circuit-based techniques prior to numerical application, the NSM improves convergence. This study evaluates the impact of step size on LTE and highlights the trade-offs between accuracy and computational cost when using the trapezoidal and Gear methods.

MathematicsVol. 12(21)
Universidad Politécnica de Cartagena (ES), Universidad de Murcia (ES)
Openalex Percentile: Top 10%
Modeling, Simulation, and Optimization
2.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.