S05: Finite-dimensional Control Systems (2) and Gradient-descent methods (1)

Date: July 2024
Course: Control and Machine Learning
Lecturer: Prof. Enrique Zuazua

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Check all details at: https://dcn.nat.fau.eu/course-control-machine-learning-zuazua/

TOPICS

S01: Introduction to Control Theory

S02: Introduction: Calculus of Variations, Controllability and Optimal Design

S03: Introduction: Optimization and Perpectives

S04: Finite-dimensional Control Systems (1)

S05: Finite-dimensional Control Systems (2) and Gradient-descent methods (1)

S06: Gradient-descent methods (2), Duality algorithms, and Controllability (1)

S07: Controllability (2)

S08: Neural transport equations and infinite-dimensional control systems

S09: Wave equation control systems

S10: Momentum Neural ODE and Wave equation with viscous damping

S11: Heat and wave equations: Control systems and Turnpike principle (1)

S12: Turnpike principle (2), Deep Neural and Collective-dynamics

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Check all details at: https://dcn.nat.fau.eu/course-control-machine-learning-zuazua/