Explore the application of control theory to the COVID-19 pandemic in this 23-minute video lecture by Steve Brunton. Delve into key aspects of the COVID-19 control problem, including model predictive control, robustness, and the challenges posed by time delays in the system. Gain insights into how control design principles can be applied to manage and mitigate the spread of the virus. Learn about the balance between imperfect measurements and the need for robust control strategies. Examine the concept of eradication and its implications in the context of pandemic management. Benefit from Brunton's expertise as he draws from various resources, including IEEE Spectrum articles and academic papers on control theory and network robustness.
Overview
Syllabus
Introduction
COVID19 Control Design
Control Theory
Model Predictive Control
Balance Imperfect Measurements
Robustness
Eradication
Taught by
Steve Brunton
