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.
Course Materials for Advanced Mechanical Systems
Docker container for slycot and the Python Control Systems Library (python-control)
Project examining the simulation of single and double pendulums, and various control methods to reach equilibrium points such as PID and LQR controllers.
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.
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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