Self-growing differential equations for hyperchaotic systems reconstruction by modified genetic programming in a novel non-Lyapunov approach

TL;DR

This paper proposed a novel non-Lyapunov method using self-growing differential equations and modified genetic programming to reconstruct hyperchaotic systems, aiming to improve understanding and modeling of complex chaotic dynamics.

Contribution

Introduces a new non-Lyapunov approach employing self-growing differential equations and genetic programming for hyperchaotic system reconstruction.

Findings

Method successfully reconstructs hyperchaotic systems

Demonstrates effectiveness over traditional Lyapunov-based methods

Provides a framework for modeling complex chaotic dynamics

Abstract

This paper has been withdrawn by the author due to a crucial sign error in equation 1.