Ben Recht • 1/23/2026

Feedback, Learning, and Adaptation - A Syllabus

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This article presents the syllabus for a semester-long class on feedback, learning, and adaptation. It covers core control theory concepts like designed feedback, stability analysis, PID control, and optimization-based control (MPC, ADP), drawing explicit parallels to machine learning algorithms and system robustness. The content is academic and technical, aimed at understanding dynamical systems and their regulation.

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#Machine Learning #Control Theory #Feedback Systems
Feedback, Learning, and Adaptation - A Syllabus

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