Dynamic, Bifurcation, and Lyapunov Analysis of Fractional Rössler Chaos Using Two Numerical Methods

In this paper, we first used a Modified Numerical Approximation Method (NAM) and then a fractional Laplace Decomposition Method (LDM) to find the solution to the symmetric Rössler attractor. The newly proposed NAM is obtained through a nuanced discretization of the Caputo derivative, rendering it exceptionally effective in emulating the inherent sensitivity and memory-dependent characteristics of fractional-order systems. Second, a comprehensive analysis is conducted to examine how variations in the fractional parameters ρ1, ρ2, and ρ3 influence the dynamic response of the system. Third, the simulation results, which include time series, bifurcation diagrams, and Lyapunov exponent spectra, show that the proposed method works well to find changes in system behavior that integer-order or lower-accuracy schemes cannot find. The fractional Laplace Decomposition Method (LDM) is straightforward to implement, computationally efficient, and exhibits outstanding accuracy. Other widely used approximation approaches achieve comparable results. The comparisons between NAM and LDM reveal that these two methodologies are not only highly consistent but also mutually reinforcing. Their straightforward application and robust consistency of numerical solutions indicate that these methods can be effectively utilized in the majority of fractional-order systems, resulting in more accurate and practical answers.