An open-source book teaching state-space control theory with practical examples for FIRST Robotics Competition teams.
State-space-guide is an open-source book that provides a comprehensive guide to controls engineering, specifically tailored for the FIRST Robotics Competition (FRC). It makes graduate-level control theory concepts accessible by presenting them in a clear, structured manner with practical examples, bridging academic rigor and hands-on implementation. Many of its tools are maintained in the FRC standard library (WPILib).
FRC students, mentors, and robotics practitioners seeking to learn or apply advanced control theory in a competition context. It is also suitable for educators or hobbyists looking for a practical, application-focused introduction to state-space control methods.
Developers choose this guide because it condenses graduate-level control theory into an approachable format with direct relevance to FRC challenges, offering runnable Python examples and integration with WPILib. Its open-source nature and permissive license allow for easy access, modification, and printing.
Book source for Controls Engineering in the FIRST Robotics Competition
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Condenses material from multiple advanced controls courses into an approachable format, making graduate concepts accessible to students without prior expertise, as highlighted in the Key Features.
All concepts are illustrated with FRC-relevant examples, and many tools are maintained in WPILib, providing direct application for competition robotics, as noted in the README and description.
The entire book is available under a Creative Commons Attribution-ShareAlike license, allowing free printing, modification, and redistribution, per the licensing section in the README.
Includes Python scripts that demonstrate control system design and analysis, requiring Python 3.12+ and frccontrol for hands-on learning, as detailed in the 'Running the examples' section.
Compiling the book or running examples requires OS-specific setup scripts and dependencies like tk for matplotlib, adding complexity for some users, as admitted in the README's setup instructions.
Heavily tailored to FRC, which may not directly apply to other robotics domains or control applications without significant adaptation, limiting broader utility despite its rigor.
As a PDF, it lacks interactive elements or automatic updates; users must manually compile from source for changes, which may not suit those preferring dynamic learning tools.