Tutorials on Control Theory
This module is dedicated for calculating different Step response analysis factors like Peak time, Rise time, Settling time, Steady-state value, Overshoot percentage of a specified system.
Experimenting with Jupyter notebooks and python-control libraries
This is an implementation in Google Colab of Python Control Systems Library using the Robust Control MIMO example.
control-toolbox is a lightweight Python library for LQR-based state-space control, extending python-control with utilities for reference tracking, delay handling, and closed-loop plotting.
Docker container for slycot and the Python Control Systems Library (python-control)
Course Materials for Advanced Mechanical Systems
MATLAB/Spyder-style Python template for state-space control-systems research: a general Plant core (x'=f(x,u)) where the robot is one plant. LQR, pole placement, MPC; AI-assisted (Claude Code) workflow.
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