Linear Operator Theoretic Framework for Data-Driven Optimal Control
Offered By: Fields Institute via YouTube
Course Description
Overview
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
Related Courses
Control of Mobile RobotsGeorgia Institute of Technology via Coursera Differential Equations in Action
Udacity Введение в теорию кибернетических систем
Saint Petersburg State University via Coursera Robotics and Control : Theory and Practice
Indian Institute of Technology Roorkee via Swayam Model Predictive Control: Theory and Applications
Indian Institute of Technology Madras via Swayam