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Optimal Control Course

Optimal Control Course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

This course covers modeling one-dimensional vertical rocket dynamics, setting realistic constraints, and examining phase-space trajectories for safe and efficient landings. Participants learn Pontryagin’s Minimum Principle, construct Hamiltonians with costates, solve boundary value problems via indirect shooting and direct transcription methods, and explore practical implementations for real-world systems.

Elevify advantages

Develop skills

  • Develop 1D rocket models by deriving, scaling, and applying constraints to vertical dynamics.
  • Formulate and solve fuel-optimal landing problems using Pontryagin’s principle efficiently.
  • Evaluate bang-bang control structures, including switching times and phase-space paths.
  • Implement numerical optimal control methods like shooting, collocation, and mesh refinement.
  • Adapt theoretical concepts to physical hardware, addressing delays, noise, and safety limits.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students are saying

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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