A comprehensive, hands-on control theory reference — bridging theory and practice with runnable implementations, real-world applications, and educational resources for students, researchers, and practicing engineers.
The Control Theory Cookbook is a collection of well-documented control theory methods, from classical PID controllers to modern machine learning approaches. Each method includes:
- Theory: Mathematical foundations and key concepts
- Implementation: Clean Python and MATLAB code
- Examples: Practical demonstrations and applications
- Documentation: Clear explanations and references
- Learning Roadmap — Structured study plan for control theory
- Textbooks & Learning Materials — Comprehensive guide to books, courses, and resources
- Math Foundations — Essential mathematics review
- Glossary — Control theory terminology and definitions
- External Integrations — Related libraries, tools, and resources
We welcome contributions from the community! Whether you're fixing bugs, adding new methods, or improving documentation.
- See our Contributing Guide
- See our Development Roadmap
- Found a bug? Open an issue
- Have questions? Start a discussion
- Want to contribute? Check our Contributing Guide
- Join our community: Discord Server
This project is licensed under the MIT License - see the LICENSE file for details.
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