inf341 - Robust Control and State Estimation in Digitalised Energy Systems (Complete module description)

Module label	Robust Control and State Estimation in Digitalised Energy Systems
Module code	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	Robustness of linear systems/ system analysis Boundary crossing theorem of Frazer and Duncan Mikhailov criterion Kharitonov criterion Frequency response approaches 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) Robust LMI-based control techniques Lyapunov stability Polytopic uncertainty modeling Optimality of solutions Duality between control and observer synthesis Robust state estimation Sliding mode observers Interval methods: Solution of static and dynamic problems (Enclosing function values, Branch-and-bound techniques, Verification techniques for differential equations) 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
Module frequency	every winter term
Module capacity	unlimited
Teaching/Learning method	V+Ü

Type of course	SWS	Frequency	Workload of compulsory attendance
Lecture	2	WiSe	28
Exercises	2	WiSe	28
Total module attendance time			56 h

Examination	Prüfungszeiten	Type of examination
Final exam of module	Written exam: at the end of the lecture period Portfolio: during the semester	Portfolio or written exam; contents of portfolio will be announced at the beginning of the lecture period