This repository implements a variety of control algorithms applied to different physical systems. It serves as an educational and experimental framework for exploring classical and modern control theory in simulation and (potentially) real-world hardware setups. Whether you're a student, researcher, or engineer, this project helps bridge the gap between theory and practice by providing modular, extensible code for systems like inverted pendulums, quadcopters, and robotic arms.
Demonstrate PID, LQR, MPC, and reinforcement learning-based controllers.
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DC Motor
- Armature controlled DC Motor
- Field controlled DC Motor
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Ball and Beam System
- PID
- LQR
- RRT