Data Generator Chaos Rossler

Rossler strange attractor. Generates three chaotic outputs (x, y, z) from a system of three coupled differential equations discovered by Otto Rossler in 1976. Produces a simpler spiral pattern than Lorenz, with occasional large excursions on the Z axis. Outputs are normalized to approximately 0..+1.

Like the Lorenz attractor, this is a chaotic system: the output is smooth and continuous but never exactly repeats. The Rossler attractor tends to produce gentler, more predictable motion with sudden spikes on Z, making it useful for modulation that is mostly calm but occasionally surprising.

Settings

on

Activates or deactivates the module.

x

Chaotic X output, normalized to approximately 0..+1.

y

Chaotic Y output, normalized to approximately 0..+1.

z

Chaotic Z output, normalized to approximately 0..+1.

a

Controls the speed of the spiral. Classic value: 0.2.

b

Controls the distance from the origin. Classic value: 0.2.

c

Controls the size of the Z excursion (the "kick" outward). Classic value: 5.7. Higher values produce larger Z spikes.

speed

Integration speed. Higher values make the attractor evolve faster. Default is 5.

reset

Resets the attractor state to initial conditions.

See also

• Generators
• Data Generator Turing Machine
• Data Generator Pattern
• Data Generator Sequenced Lines
• Data Generator Random Urn
• Data Generator Burst
• Data Generator Sequenced Triggers
• Data Generator ADSR
• Data Generator Sequenced Switches
• Data Generator LFO
• Data Generator Sequenced Steps
• Data Generator Random
• Data Generator Sequenced Points Curve
• Data Generator Ramp
• Data Generator Random Pattern Array (SCRIPT)
• Data Generator Chaos Rossler
• Data Generator Chaos Lorenz
• Data Generator Perlin Noise
• Data Generator Euclidean Rhythm
• Data Generator Grain
• Data Generator Random Walk
• Data Probability Gate