The RΓΆssler System with a State-Dependent Delay: Hopf Criticality, Chaos and Key Recovery

We study the RΓΆssler system with a delayed feedback π‘˜β’π‘§β’(𝑑 βˆ’π‘‘β‘(𝑧)) in the 𝑧-equation and state-dependent delay 𝑑⁑(𝑧) =𝑑0 +𝑐1⁒𝑧2. The linearization coincides with that of a constant delay π‘‘βˆ— =𝑑0 +𝑐1β’π‘§βˆ—2, so the Hopf curves in the (π‘˜,𝑑0) plane are shifted exactly by 𝑐1β’π‘§βˆ—2 (verified by a pseudospectral method and by direct simulation). In a regime that possesses a stable equilibrium, the state dependence alone switches the Hopf bifurcation from subcritical to supercritical: the first Lyapunov coefficient computed with the normal-form theory for SD-DDEs changes sign at π‘βˆ— 1 β‰ˆ0.389, and continuation of periodic orbits (DDE-BIFTOOL) confirms the picture, including the folds of the subcritical branches. In the chaotic regime, an ensemble of 16 initial conditions with six Lyapunov exponents shows a small but statistically detectable decrease of the chaotic fraction with 𝑐1 (from 0.53 to 0.48), while individual parameter points are reclassified at a rate comparable to the initial-condition variability; no hyperchaos is found. When 𝑐1 is regarded as a chaos-based key it produces logarithmic sensitivity, yet a least-squares attack on the observed signal 𝑧⁑(𝑑) recovers (𝑑0,𝑐1) even when π‘Ž,𝑏,𝑐,π‘˜ are also unknown and the channel adds noise, band-limiting and quantization; the scheme is therefore not secure by itself.

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Published
2026-11-11
DOI
https://doi.org/10.66833/amip-2026-0004
Primary Topic
Chaos control and synchronization
Type
article
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article

The RΓΆssler System with a State-Dependent Delay: Hopf Criticality, Chaos and Key Recovery

Yunlong Zhang, Shuchang Wang
Chaos control and synchronization
article

The RΓΆssler System with a State-Dependent Delay: Hopf Criticality, Chaos and Key Recovery

Yunlong Zhang, Shuchang Wang
article en

Abstract

We study the RΓΆssler system with a delayed feedback π‘˜β’π‘§β’(𝑑 βˆ’π‘‘β‘(𝑧)) in the 𝑧-equation and state-dependent delay 𝑑⁑(𝑧) =𝑑0 +𝑐1⁒𝑧2. The linearization coincides with that of a constant delay π‘‘βˆ— =𝑑0 +𝑐1β’π‘§βˆ—2, so the Hopf curves in the (π‘˜,𝑑0) plane are shifted exactly by 𝑐1β’π‘§βˆ—2 (verified by a pseudospectral method and by direct simulation). In a regime that possesses a stable equilibrium, the state dependence alone switches the Hopf bifurcation from subcritical to supercritical: the first Lyapunov coefficient computed with the normal-form theory for SD-DDEs changes sign at π‘βˆ— 1 β‰ˆ0.389, and continuation of periodic orbits (DDE-BIFTOOL) confirms the picture, including the folds of the subcritical branches. In the chaotic regime, an ensemble of 16 initial conditions with six Lyapunov exponents shows a small but statistically detectable decrease of the chaotic fraction with 𝑐1 (from 0.53 to 0.48), while individual parameter points are reclassified at a rate comparable to the initial-condition variability; no hyperchaos is found. When 𝑐1 is regarded as a chaos-based key it produces logarithmic sensitivity, yet a least-squares attack on the observed signal 𝑧⁑(𝑑) recovers (𝑑0,𝑐1) even when π‘Ž,𝑏,𝑐,π‘˜ are also unknown and the channel adds noise, band-limiting and quantization; the scheme is therefore not secure by itself.

Vol. 1(1)
Shandong University of Technology (CN)
Chaos control and synchronization
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