Design of multi-wing chaotic systems with higher largest Lyapunov exponent
Shilalipi Sahoo and
Binoy Krishna Roy
Chaos, Solitons & Fractals, 2022, vol. 157, issue C
Abstract:
A multi-wing chaotic attractor with higher value of the largest Lyapunov exponent is more useful for its practical applications. This paper proposes a new design technique to generate multi-wing chaotic attractors from two-wing chaotic attractors, available in the literature. The Chen and the Lu systems are considered for demonstration. A nonlinear term of the original system is multiplied by a nonlinear function to generate multi-wings attractors. The number of wings is changed by varying the number of equilibrium points, and the equilibrium points are changed by varying the parameters of the newly added nonlinear function. The new multi-wing chaotic systems have a higher value of the largest Lyapunov exponent than their respective original systems. An interesting behavior is observed in the proposed system, i.e., the largest Lyapunov exponent increases with the variation of a system parameter. Further, the largest Lyapunov exponents of the new systems are much higher than some similar available papers.
Keywords: Multi-wing chaotic attractor; Nonlinear function; Largest Lyapunov exponent; Chaotic systems (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077922001369
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:157:y:2022:i:c:s0960077922001369
DOI: 10.1016/j.chaos.2022.111926
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().