CDS 245

Data-driven Control

9 units (3-0-6)    |  third term
Prerequisites: CDS 131 and CDS 232.

Mathematical treatment of data-driven machine learning methods for controlling robotic and dynamical systems with various uncertainties. Gradient and least-squares estimators and variants for dynamical systems for system identification and residual learning. Adaptive control methods for online adaptation and combination with deep learning. Learning-based control certificates such as neural Lyapunov functions and neural contraction metrics.

Instructor: Chung

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