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.
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.
This is an implementation in Google Colab of Python Control Systems Library using the Robust Control MIMO example.
Project examining the simulation of single and double pendulums, and various control methods to reach equilibrium points such as PID and LQR controllers.
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.
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)
High-Precision Motor Control: Neural-Adaptive Super-Twisting 2-SMC (NA-STA), High-Gain LESO Disturbance Observer, and CBF Voltage/Current Safety Filter
Репозиторий с лабораторными работами по "Дискретным и нелинейным системам автоматического управления"
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