Coursebooks

Optimal control

EE-715

Lecturer(s) :

Faulwasser Timm

Language:

English

Frequency

Every 2 years

Remarque

Further dates to be announced shortly

Summary

This doctoral course provides an introduction to optimal control covering fundamental theory, numerical implementation and problem formulation for applications.

Content

Optimization and optimal control play pivotal roles in many engineering applications ¿ ranging from autonomous vehicles, robotics and chemical reactors to smart girds and aeronautics. The course will cover the following topics:

Basics of optimal control theory

Numerical optimal control

Advanced aspects of optimal control

Receding-horizon control of sampled-data systems

Outlook

Learning Outcomes

By the end of the course, the student must be able to:

Assessment methods

Project Report.

In the programs

  • Electrical Engineering (edoc), 2019-2020
    • Semester
    • Exam form
      Project report
    • Credits
      4
    • Subject examined
      Optimal control
    • Lecture
      33 Hour(s)
    • Exercises
      13 Hour(s)
  • Advanced Manufacturing (edoc), 2019-2020
    • Semester
    • Exam form
      Project report
    • Credits
      4
    • Subject examined
      Optimal control
    • Lecture
      33 Hour(s)
    • Exercises
      13 Hour(s)

Reference week

Lecture
Exercise, TP
Project, other

legend

  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German