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Optimal Control Course

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

What will I learn?

This Optimal Control Course teaches modelling of 1D vertical rocket dynamics, defining realistic constraints, and analysing phase-space behaviour for safe, fuel-efficient landings. Learners apply Pontryagin’s Minimum Principle, construct Hamiltonians, manage costates, solve boundary value problems via indirect shooting and direct transcription, and explore practical extensions with implementation insights for actual systems.

Elevify advantages

Develop skills

  • Build 1D rocket models by deriving, scaling, and constraining vertical dynamics for control.
  • Design fuel-optimal landings by posing and solving Pontryagin-based control problems quickly.
  • Analyze bang-bang controls by computing switching times and phase-space trajectories.
  • Apply numerical optimal control using shooting, collocation, and mesh refinement in practice.
  • Translate theory to hardware by handling delays, noise, limits, and safety envelopes.

Suggested summary

Before starting, you can change the chapters and 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 say

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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