A lecture blog exploring surprising robustness and fragility in interconnected systems, drawing analogies between nonlinear control and optimization.
A lecture on control theory, explaining feedback as an algebraic interconnection for robust system design, using amplifier gain as an example.
A syllabus for a university course exploring the principles of feedback, control theory, and their connections to machine learning and optimization.
A professor reflects on the intersection of machine learning and control theory, discussing the Learning for Dynamics and Control (L4DC) conference and the need for a merged perspective.
