Coursebooks 2017-2018

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Optimal control

EE-715

Lecturer(s) :

Faulwasser Timm

Language:

English

Frequency

Every 2 years

Remarque

Every 2 years. Next time: Spring 2018

Summary

Content

The course will cover the following topics:

NLPs and Optimal Control

· Brief review on static optimization

· Pontryagin's maximum principle and necessary conditions of optimality (NCO)

· Turnpike and dissipativity properties in Optimal Control

Solution methods

· Analytical solution approach (type and sequence of arcs in optimal solutions)

· Indirect and direct solution techniques

· Direct sequential and simultaneous solution techniques

From optimal to sampled-data predictive control

· Stability and convergence properties

· Economic MPC approaches

· Case studies from mechatronics, process systems and climate economics

Assessment methods

Project Report.

In the programs

  • Electrical Engineering (edoc), 2017-2018
    • Semester
    • Exam form
      Project report
    • Credits
      4
    • Subject examined
      Optimal control
    • Lecture
      33 Hour(s)
    • Exercises
      13 Hour(s)
  • Advanced Manufacturing (edoc), 2017-2018
    • 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

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