ScrollDelay¶
Systems / DDEs / Delayed systems
A delayed feedback circuit producing multi-scroll attractors in the embedding.
Definition¶
\[
\begin{aligned}
\dot{y_{0}} &= - \alpha y_{0}{\left(t - \tau \right)} + \beta \tanh{\left(10 y_{0}{\left(t - \tau \right)} \right)}
\end{aligned}
\]
Parameters¶
| Symbol | Default | Role |
|---|---|---|
alpha |
0.2 |
linear decay rate of the delayed state |
beta |
0.2 |
gain of the saturating tanh feedback |
tau |
10 |
feedback delay |
Properties¶
Lyapunov spectrum
TODO — DDE Lyapunov not computed at build time
Kaplan–Yorke dimension
TODO — requires a numeric Lyapunov spectrum
Divergence ∇·f
$\nabla\!\cdot f = 0$
constant
constant
Equilibria
TODO — fixed_points failed: NotImplementedError
Define it in TSDynamics¶
import tsdynamics as ts
sys = ts.systems.ScrollDelay()
traj = sys.integrate(final_time=500.0, dt=0.5)
# DDE Lyapunov uses the infinite-dimensional-history estimator:
exps = sys.lyapunov_spectrum(n_exp=1, dt=0.5, ic=traj.y[-1])
Reference¶
Driver (1977), Ordinary and Delay Differential Equations, Springer