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Coursebooks
Optimal control
EE-715
Lecturer(s) :
Faulwasser TimmLanguage:
English
Frequency
Every 2 yearsRemarque
Next time : Spring 2020Summary
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
- Semester
- Exam form
Project report - Credits
4 - Subject examined
Optimal control - Lecture
33 Hour(s) - Exercises
13 Hour(s)
- Semester
- Semester
- Exam form
Project report - Credits
4 - Subject examined
Optimal control - Lecture
33 Hour(s) - Exercises
13 Hour(s)
- Semester
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