Power BI Fundamentals - Create visualizations and dashboards from scratch
Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn about H-infinity control design in Julia through a 22-minute video lecture that explores fundamental concepts and practical implementations. Discover the significance of H-infinity norm, its minimization purposes, and the structure of ExtendedStateSpace objects. Master working with named statespace systems by understanding how states, input, and output signals are handled. Explore practical examples ranging from basic to advanced implementations of H-infinity problem-solving using ControlSystems.jl and RobustAndOptimalControl.jl packages. Follow along with clearly structured content that progresses from theoretical foundations to hands-on applications, including detailed explanations of cost functions and real-world control scenarios. Gain valuable insights into robust control design techniques while leveraging Julia's powerful ecosystem for control system analysis and implementation.
Syllabus
Introduction
What is the H-inf norm?
Why minimize H-inf?
The cost function
First example
Advanced example
Summary
Taught by
JuliaHub