This is a design of the lorenz non-linear model, known as the Lorenz Attractor, defined by:
Where x=x(t), y=y(t), z=z(t) and t=[0,100].
For initial conditions:
x(0)=y(0)=z(0)=5 (defined inside the integrator blocks)
And system parameters:
In the first model, the refine factor has been changed to 4 for a smoother simulation and the states are saved in the workspace.
In the second model, the stepping options have been set to 5 so one can step forward the simulation every 5 seconds and observe the change in the 3 plots.
One can easily change the initial values and the system parameters and explore the different results.
After you run the system in Simulink, you can run the .m file to get the 3d plot being produced gradually in time.
This is included in .
 An introduction to Control Theory Applications Using Matlab, https://www.researchgate.net/publication/281374146_An_Introduction_to_Control_Theory_Applications_with_Matlab
 DIFFERENTIAL EQUATIONS,DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS, Hirsch, Smale, Devaney. Elsevier Academic Press.
Lazaros Moysis (2020). The Lorenz Attractor Simulink Model (https://www.mathworks.com/matlabcentral/fileexchange/46439-the-lorenz-attractor-simulink-model), MATLAB Central File Exchange. Retrieved .
Added a small "for" loop .m file to produce a 3d rottating plot.
Changed the screenshot.