Toolboxes
Control System Toolbox → python-control
Transfer functions, state space models, and frequency domain analysis. Maps to python-control.
Install
pip install control| MATLAB | Python | Note |
|---|---|---|
| tf(num, den) | control.tf(num, den) | |
| ss(A, B, C, D) | control.ss(A, B, C, D) | |
| zpk(z, p, k) | control.zpk(z, p, k) | |
| bode(sys) | control.bode_plot(sys) | |
| nyquist(sys) | control.nyquist_plot(sys) | |
| step(sys) | control.step_response(sys) | |
| impulse(sys) | control.impulse_response(sys) | |
| rlocus(sys) | control.root_locus(sys) | |
| margin(sys) | control.margin(sys) | |
| feedback(G, H) | control.feedback(G, H) | |
| series(G1, G2) | control.series(G1, G2) | |
| parallel(G1, G2) | control.parallel(G1, G2) | |
| c2d(sys, Ts) | control.c2d(sys, Ts) |
The converter automatically detects Control Systems functions and adds the correct imports.
Try the converter