Comparison of P, PI, PD, and PID controllers for washing machine water temperature control using mathematical modeling and MATLAB simulations.

A comparative study of classical, symbolic, and reinforcement learning control for mobile robots and manipulators.

Python-first control systems toolkit for reproducible CLI workflows, plots, JSON outputs, and textbook-aligned analysis/design tools across classical and modern control.

Selected control systems reference notes compiled for long-term use in modeling, simulation, and embedded control work.

We made a Automatic Self Balance ball in midpoint of rail with PID Tuning using Classical Controls theory as a team.

Written by Brian Lesko, the repository contains Matlab scripts demonstrating controls theories largely originating from the book, Control of Mechatronic Systems, by Dr. Levent Guvenc.

Deep RL implementations in PyTorch — REINFORCE, A2C with GAE, DQN with replay/target network on CartPole-v1 and LunarLander-v3 with full training telemetry and checkpointing.