inf341 - Robust Control and State Estimation in Digitalised Energy Systems

inf341 - Robust Control and State Estimation in Digitalised Energy Systems

Department of Computing Science 6 KP
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
Exercises
Notes on the module
Prerequisites

Basic knowledge of the control of linear continuous-time and/or discrete-time systems or of robust control
Prüfungszeiten

Written exam: at the end of the lecture period
Portfolio: during the semester
Module examination

Portfolio or written exam; contents of portfolio will be announced at the beginning of the lecture period
Skills to be acquired in this module

The students identify fundamentals of robust control and state estimation as well as problem-specific solution techniques and their corresponding software implementation.
Professional competences

The students

  • identify fundamentals of robust control and state estimation
  • characterize problem-specific solution techniques for different classes of uncertainty
  • are aware of reliable software implementations.

Methological competences
The students

  • analyze problems of robust control and state estimation for dynamic systems
  • analyze fundamental solution techniques on a theoretical basis
  • transfer as well as generalize those independently to new fields of applications.

Social competences
The students

  • develop solution ideas for real-life control problems within an accompanying project in small teams
  • explain the obtained results in short presentations.

Self competences
The students

  • critically reflect the achieved results of their project work
  • acknowledge limitations of various approaches for robust control and state estimation.

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