Electrical Engineering - Optimization and Optimal Control


General information

Course name Optimization and Optimal Control
Course type OPT
Course code etit-522
Course coordinator Prof. Dr.-Ing. habil. Thomas Meurer
Faculty Institute of Electrical Engineering and Information Technology
Examination office Electrical Engineering and Information Technology
Short summary The course gives an introduction to static and dynamic optimization without and with constraints as well as model-predictive control.

Information about study level

Study level Master
Also possible for  

Information about credit points, evaluation and frequency

Evaluation Oral exam (45 min.) during the examination period
Frequency Every winter term

Information about teaching language

Teaching language English
Minimum language requirement B1
Further information on the teaching language



Information about requirements

Recommended requirements Nonlinear Control Systems (module etit-501)

Information about course content, reading list and additional information

Course Content
  • Fundamentals of static and dynamic optimization problems
  • Static optimization without and with constraints
  • Dynamic optimization without and with constraints
  • Model-predictive control
Reading list
  • T. Meurer: Optimization and Optimal Control, Lecture notes.
  • S. Boyd, L. Vandenberghe: Convex Optimization, Cambridge University Press.
  • A.E. Bryson: Dynamic Optimization, Addison-Wesley.
  • L. Grüne, J. Pannek: Nonlinear Model Predictive Control: Theory and Algorithms, Springer.
  • D.G. Luenberger, Y. Ye: Linear and Nonlinear Programming, Springer.
  • J. Nocedal, S.J. Wright: Numerical Optimization, Springer.
  • M. Papageorgiou: Optimierung, Oldenbourg Verlag.
Additional information