A Numerical Study of the Caputo Fractional Nonlinear Rössler Attractor Model via Ultraspherical Wavelets Approach

The Rössler attractor model is an important model that provides valuable insights into the behavior of chaotic systems in real life and is applicable in understanding weather patterns, biological systems, and secure communications. So, this work aims to present the numerical performances of the nonlinear fractional Rössler attractor system under Caputo derivatives by designing the numerical framework based on Ultraspherical wavelets. The Caputo fractional Rössler attractor model is simulated into two categories, (i) Asymmetric and (ii) Symmetric. The Ultraspherical wavelets basis with suitable collocation grids is implemented for comprehensive error analysis in the solutions of the Caputo fractional Rössler attractor model, depicting each computation in graphs and tables to analyze how fractional order affects the model’s dynamics. Approximate solutions obtained through the proposed scheme for integer order are well comparable with the fourth-order Runge-Kutta method. Also, the stability analyses of the considered model are discussed for different equilibrium points. Various fractional orders are considered while performing numerical simulations for the Caputo fractional Rössler attractor model by using Mathematica. The suggested approach can solve another non-linear fractional model due to its straightforward implementation.

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.060989
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Numerical Study of the Caputo Fractional Nonlinear Rössler Attractor Model via Ultraspherical Wavelets Approach

Imed Kédim, Sabri T. M. Thabet, Ashish Rayal, Miguel Vivas–Cortez et al.
1 citations
Computer Modeling in Engineering & Sciences
Fractional Differential Equations Solutions
1.37
article

A Numerical Study of the Caputo Fractional Nonlinear Rössler Attractor Model via Ultraspherical Wavelets Approach

Imed Kédim, Sabri T. M. Thabet, Ashish Rayal, Miguel Vivas–Cortez, Priya Dogra
article en
1 citations

Abstract

The Rössler attractor model is an important model that provides valuable insights into the behavior of chaotic systems in real life and is applicable in understanding weather patterns, biological systems, and secure communications. So, this work aims to present the numerical performances of the nonlinear fractional Rössler attractor system under Caputo derivatives by designing the numerical framework based on Ultraspherical wavelets. The Caputo fractional Rössler attractor model is simulated into two categories, (i) Asymmetric and (ii) Symmetric. The Ultraspherical wavelets basis with suitable collocation grids is implemented for comprehensive error analysis in the solutions of the Caputo fractional Rössler attractor model, depicting each computation in graphs and tables to analyze how fractional order affects the model’s dynamics. Approximate solutions obtained through the proposed scheme for integer order are well comparable with the fourth-order Runge-Kutta method. Also, the stability analyses of the considered model are discussed for different equilibrium points. Various fractional orders are considered while performing numerical simulations for the Caputo fractional Rössler attractor model by using Mathematica. The suggested approach can solve another non-linear fractional model due to its straightforward implementation.

Computer Modeling in Engineering & SciencesVol. 143(2)
Openalex Percentile: Top 23%
Fractional Differential Equations Solutions
1.37
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.