Lukas Hewing: Catalogue data in Autumn Semester 2020

Name Dr. Lukas Hewing
Address
Intelligente Regelsysteme
ETH Zürich, ML K 40.1
Sonneggstrasse 3
8092 Zürich
SWITZERLAND
Telephone+41 44 632 59 26
E-maillhewing@ethz.ch
DepartmentMechanical and Process Engineering
RelationshipLecturer

NumberTitleECTSHoursLecturers
151-0371-00LAdvanced Model Predictive Control Restricted registration - show details 4 credits2V + 1UM. Zeilinger, A. Carron, L. Hewing
AbstractModel predictive control (MPC) has established itself as a powerful control technique for complex systems under state and input constraints. This course discusses the theory and application of recent advanced MPC concepts, focusing on system uncertainties and safety, as well as data-driven formulations and learning-based control.
ObjectiveDesign, implement and analyze advanced MPC formulations for robust and stochastic uncertainty descriptions, in particular with data-driven formulations.
ContentTopics include
- Review of Bayesian statistics, stochastic systems and Stochastic Optimal Control
- Nominal MPC for uncertain systems (nominal robustness)
- Robust MPC
- Stochastic MPC
- Set-membership Identification and robust data-driven MPC
- Bayesian regression and stochastic data-driven MPC
- MPC as safety filter for reinforcement learning
Lecture notesLecture notes will be provided.
Prerequisites / NoticeBasic courses in control, advanced course in optimal control, basic MPC course (e.g. 151-0660-00L Model Predictive Control) strongly recommended.
Background in linear algebra and stochastic systems recommended.