Stud.IP Uni Oldenburg
University of Oldenburg
03.03.2024 02:37:37
inf341 - Robust Control and State Estimation in Digitalised Energy Systems (Complete module description)
Original version English PDF download
Module label Robust Control and State Estimation in Digitalised Energy Systems
Module abbreviation inf341
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik
  • Master's Programme Computing Science (Master) > Technische Informatik
  • Master's programme Digitalised Energy Systems (Master) > Digitalised Energy System Automation, Control and Optimisation
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Embedded Brain Computer Interaction
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Systems Engineering
Responsible persons
  • Rauh, Andreas (module responsibility)
  • Lehrenden, Die im Modul (authorised to take exams)
Prerequisites
Basic knowledge of the control of linear continuous-time and/or discrete-time systems or of robust control
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.
Module contents
  1. Robustness of linear systems/ system analysis
    • Boundary crossing theorem of Frazer and Duncan
    • Mikhailov criterion
    • Kharitonov criterion
    • Frequency response approaches
  2. Selected control design techniques/ control synthesis
    • Parameter-space approach of Ackermann and Kaesbauer
    • Eigenvalue and eigenvalue domain assignment
    • H-infinity control
    • Frequency response approaches (Sensitivity function approaches in the frequency domain)
  3. Robust LMI-based control techniques
    • Lyapunov stability
    • Polytopic uncertainty modeling
    • Optimality of solutions
  4. Duality between control and observer synthesis
    • Robust state estimation
    • Sliding mode observers
  5. Interval methods: Solution of static and dynamic problems (Enclosing function values, Branch-and-bound techniques, Verification techniques for differential equations)
  6. Fundamentals: Fault detection and fault-tolerant control
Recommended reading
  • Ackermann, J. Robust Control, Springer-Verlag, 2002.
  • Gu, D.-W.; Petkov, P.H.; Konstantinov, M.M., Robust Control Design with MATLAB, Springer-Verlag, 2013
  • Ostertag, E. Mono- and Multivariable Control and Estimation, Springer-Verlag, 2011
  • Rauh, A. Folien/ Skript zur Vorlesung „Robuste Regelung und Zustandsschätzung“.
  • Weinmann, A. Uncertain Models and Robust Control, Springer-Verlag, 1991
Links
Language of instruction English
Duration (semesters) 1 Semester Semester
Module frequency every winter term
Module capacity unlimited
Teaching/Learning method 1VL + 1S
Previous knowledge Basic knowledge of the control of linear continuous-time and/or discrete-time systems or of robust control
Type of course Comment SWS Frequency Workload of compulsory attendance
Lecture 2 WiSe 28
Seminar 1 WiSe 14
Total module attendance time 42 h
Examination Examination times Type of examination
Final exam of module
Written exam: at the end of the lecture period
Portfolio: during the semester
Portfolio or written exam