376.063 Control of Distributed Parameter Systems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VU, 3.0h, 4.5EC, to be held in blocked form
Quinn ECTS survey


  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to

  • model plants with distributed parameters.
  • investigate properties of distributed-parameter systems such as stability, controlability and reachability and address differences compared to lumped-parameter systems.
  • choose suitable control strategies and apply them to examples.
  • evaluate the performance of designed control systems.

Subject of course

  • Modeling of DPS control processes
  • Analytical and numerical solution approaches for partial differential equations
  • DPS control in the frequency domain
  • State-space representation, stability, controllability, observability
  • Functional analytic approaches for control and observer design
  • Flatness-based feedforward and feedback control design
  • Backstepping and passivity-based methods

Teaching methods

Lecture, solution of examples during the lecture

Mode of examination




Course dates

Wed13:00 - 17:0024.05.2023 Computerlabor CA0426Vorlesung Block 1
Thu08:00 - 17:0025.05.2023 Computerlabor CA0426Vorlesung Block 1
Fri13:00 - 17:0026.05.2023 Computerlabor CA0426Vorlesung Block 1
Thu08:00 - 17:0001.06.2023 Besprechungsraum CA0532Vorlesung Block 2
Fri08:00 - 17:0002.06.2023 Besprechungsraum CA0532Vorlesung Block 2
Course is held blocked

Examination modalities

oral exam


Course registration

Begin End Deregistration end
01.03.2023 08:00 08.06.2023 22:00 08.06.2023 22:00

Registration modalities

Please sign-up for communication reasons for the course.


Study CodeObligationSemesterPrecon.Info
066 506 Energy Systems and Automation Technology Not specified
066 507 Telecommunications Not specified
066 515 Automation and Robotic Systems Mandatory elective


Further information and lecture notes can be found here.