Raffaello D'Andrea: Catalogue data in Autumn Semester 2016

Name Prof. Dr. Raffaello D'Andrea
FieldDynamic Systems and Control
Inst. Dynam. Syst. u. Regelungst.
ETH Zürich, ML K 32.4
Sonneggstrasse 3
8092 Zürich
Award: The Golden Owl
Telephone+41 44 632 80 60
Fax+41 44 632 11 39
DepartmentMechanical and Process Engineering
RelationshipFull Professor

151-0563-01LDynamic Programming and Optimal Control Information 4 credits2V + 1UR. D'Andrea
AbstractIntroduction to Dynamic Programming and Optimal Control.
ObjectiveCovers the fundamental concepts of Dynamic Programming & Optimal Control.
ContentDynamic Programming Algorithm; Deterministic Systems and Shortest Path Problems; Infinite Horizon Problems, Bellman Equation; Deterministic Continuous-Time Optimal Control.
LiteratureDynamic Programming and Optimal Control by Dimitri P. Bertsekas, Vol. I, 3rd edition, 2005, 558 pages, hardcover.
Prerequisites / NoticeRequirements: Knowledge of advanced calculus, introductory probability theory, and matrix-vector algebra.
151-0575-01LSignals and Systems Information 4 credits2V + 2UR. D'Andrea
AbstractSignals arise in most engineering applications. They contain information about the behavior of physical systems. Systems respond to signals and produce other signals. In this course, we explore how signals can be represented and manipulated, and their effects on systems. We further explore how we can discover basic system properties by exciting a system with various types of signals.
ObjectiveMaster the basics of signals and systems. Apply this knowledge to problems in the homework assignments and programming exercise.
ContentDiscrete-time signals and systems. Fourier- and z-Transforms. Frequency domain characterization of signals and systems. System identification. Time series analysis. Filter design.
Lecture notesLecture notes available on course website.
227-0920-00LSeminar in Systems and Control0 credits1SF. Dörfler, R. D'Andrea, J. Lygeros, R. Smith
AbstractCurrent topics in Systems and Control presented mostly by external speakers from academia and industry
Objectivesee above