YoVDO

Data-Driven Control - Balanced Proper Orthogonal Decomposition

Offered By: Steve Brunton via YouTube

Tags

Control Theory Courses

Course Description

Overview

Explore the balancing proper orthogonal decomposition (BPOD) technique for approximating balanced truncation in high-dimensional systems in this 28-minute lecture. Gain insights into advanced data-driven control methods from Steve Brunton, a renowned expert in the field. Delve into the intricacies of BPOD and its applications in simplifying complex systems for more efficient control strategies. Visit eigensteve.com for additional resources and information on data-driven control techniques.

Syllabus

Data-Driven Control: Balanced Proper Orthogonal Decomposition


Taught by

Steve Brunton

Related Courses

Control of Mobile Robots
Georgia 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