Optimal Control

Instructor and contact person:

Dr.-Ing. Julia Timmermann

Content and learning objectives:

1. Basics of optimization

2. Static optimization

  • Optimization without restrictions
  • Optimization with restrictions
  • Application to technical systems

3. Dynamic optimization

  • Optimal control
  • Time variant Riccati controller
  • Dynamic programming


This course teaches basic knowledge of mathematical optimization in the design of engineering systems. Depending on the problem at hand, different optimization methods (static or dynamic, with or without restrictions, linear or non-linear, etc.) are presented. The aim is then to derive and solve an optimization problem from the technical problem. This requires a fundamental understanding of the different approaches and possible solutions. The lecture is supplemented by an exercise in which optimization problems are solved in Matlab.

Reference for students

Regarding further information about contents and organization of our courses, please visit the central organization platform PAUL. Lecture notes are available at the e-learning-system koaLA.