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🎮 Python for Control Systems

A comprehensive collection of tutorials and examples demonstrating control system analysis and design using Python. Perfect for students, engineers, and hobbyists interested in control systems.

🎯 Documentation

Visit our documentation site for interactive tutorials and examples.

🎯 What You'll Learn

  • Control system analysis using Python
  • Transfer function manipulation
  • System response visualization
  • Controller design and tuning
  • Real-world control applications

📚 Available Tutorials

Tutorial 0: Python Basics for Control

  • Basic Python concepts for control systems
  • Symbolic mathematics with SymPy
  • Transfer function analysis
  • System response visualization
  • Step response plotting

📁 Prerequisites

  • Python 3.8+
  • Basic understanding of control systems theory
  • Basic Python programming knowledge

🚀 Getting Started

  1. Clone this repository:
git clone https://github.com/Hmustf/python4control.git
cd python4control
  1. Create a virtual environment:
python -m venv .venv
source .venv/bin/activate  # On Windows use: .venv\Scripts\activate
  1. Install required packages:
pip install -r requirements.txt

📁 Project Structure

.
├── README.md
├── requirements.txt
└── tutorials/
    └── tutorial-0/
        ├── README.md
        ├── basic_examples.py
        ├── symbolic_example.py
        ├── control_examples.py
        └── plots/

🤝 Contributing

We welcome contributions! Here's how you can help:

  • Add new tutorials
  • Improve existing examples
  • Fix bugs or typos
  • Enhance documentation
  • Add more real-world examples

📖 Documentation

Each tutorial contains:

  • Detailed README with theory explanations
  • Well-commented Python code
  • Example outputs and plots
  • Practice exercises

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Useful Links