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Linear Operator Theoretic Framework for Data-Driven Optimal Control

Offered By: Fields Institute via YouTube

Tags

Control Theory Courses Machine Learning Courses Robotics Courses Dynamical Systems Courses Autonomous Systems Courses

Course Description

Overview

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Explore a 24-minute lecture from the Fourth Symposium on Machine Learning and Dynamical Systems, presented by Umesh Vaidya of Clemson University at the Fields Institute. Delve into the Linear Operator Theoretic Framework for Data-Driven Optimal Control, gaining insights into cutting-edge approaches that merge machine learning techniques with dynamical systems theory. Discover how this framework can be applied to solve complex control problems using data-driven methods, potentially revolutionizing fields such as robotics, autonomous systems, and process control.

Syllabus

Linear Operator Theoretic Framework for Data-Driven Optimal Control:


Taught by

Fields Institute

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