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.
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.
Репозиторий с лабораторными работами по "Дискретным и нелинейным системам автоматического управления"
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.
Project examining the simulation of single and double pendulums, and various control methods to reach equilibrium points such as PID and LQR controllers.
Aerospace engineering LLM: open-weights base, continued pretraining, and RL with rewards from engineering tools (JSBSim, AVL, XFOIL, python-control, MIL-STD-1797A criteria). Ground tool; DO-330 path.
Course Materials for Advanced Mechanical Systems
Docker container for slycot and the Python Control Systems Library (python-control)
High-Precision Motor Control: Neural-Adaptive Super-Twisting 2-SMC (NA-STA), High-Gain LESO Disturbance Observer, and CBF Voltage/Current Safety Filter
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