HyperCai¶
Systems / ODEs / Exotic systems
A 4-D hyperchaotic flow augmenting a Lorenz-like chaotic core with a fourth feedback state, yielding two positive Lyapunov exponents.
Interactive: drag to rotate
Definition¶
\[
\begin{aligned}
\dot{x} &= - a x + a y \\
\dot{y} &= b x + c y + w - x z \\
\dot{z} &= - d z + y^{2} \\
\dot{w} &= - e x
\end{aligned}
\]
Parameters¶
| Symbol | Default | Role |
|---|---|---|
a |
27.5 |
linear coupling rate of the x–y subsystem |
b |
3 |
linear gain in the y equation |
c |
19.3 |
linear gain in the y equation |
d |
2.9 |
damping of the z mode (fed by y²) |
e |
3.3 |
feedback gain of the auxiliary state w onto x |
State variables: x, y, z, w
Properties¶
Lyapunov spectrum
TODO — lyapunov_spectrum failed: AttributeError
Kaplan–Yorke dimension
TODO — requires a numeric Lyapunov spectrum
Divergence ∇·f
$\nabla\!\cdot f = - a + c - d$
constant
constant
Equilibria
1 equilibria
0 stable · 1 unstable
0 stable · 1 unstable
Use it in TSDynamics¶
import tsdynamics as ts
system = ts.systems.HyperCai()
traj = system.run(final_time=100.0, dt=0.01)
ts.plot(traj)
spectrum = ts.analysis.lyapunov_spectrum(system)
ts.analysis.kaplan_yorke_dimension(spectrum)
Reference¶
Cai & Huang (2007), Int. J. Nonlinear Sci.