A delay-disturbance method to counteract the dynamical degradation of digital chaotic systems and its application
Binglun Li,
Kehui Sun,
Huihai Wang and
Wenhao Liu
Chaos, Solitons & Fractals, 2024, vol. 182, issue C
Abstract:
To solve the performance degradation of chaotic system caused by computational precision limitation, a new hybrid control method is proposed by the Parameter Perturbation and Delayed Feedback (PP&DF) control. This method uses a high-performance anti-degradation pseudo-random sequence to periodically perturb the system parameters, and the output is delayed and provides feedback to the input. To verify its versatility, it is applied to low-dimensional systems and high-dimensional systems, respectively. The optimization effect is evaluated by evolution orbit, phase diagram, frequency distribution, cycle, and complexity. The analysis results show that the improved chaotic systems have good ergodicity, large period length, and high complexity at low precision. In addition, a new encryption algorithm is proposed based on the improved high-dimensional chaotic map. Compared with some of the latest encryption algorithms, it has high security level at low precision.
Keywords: Chaos; Delayed feedback; Parameter perturbation; Dynamical degradation; Image encryption (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077924003953
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:182:y:2024:i:c:s0960077924003953
DOI: 10.1016/j.chaos.2024.114843
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. ().