Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Guillaume Ducard: Catalogue data in Autumn Semester 2018

Name Dr. Guillaume Ducard
Address
Onder, Christopher (Tit.-Prof.)
ETH Zürich, ML K 37.4
Sonneggstrasse 3
8092 Zürich
SWITZERLAND
E-mailducardg@ethz.ch
DepartmentMechanical and Process Engineering
RelationshipLecturer

NumberTitleECTSHoursLecturers
151-0573-00LSystem Modeling Information 4 credits2V + 2UG. Ducard
AbstractIntroduction to system modeling for control. Generic modeling approaches based on first principles, Lagrangian formalism, energy approaches and experimental data. Model parametrization and parameter estimation. Basic analysis of linear and nonlinear systems.
ObjectiveLearn how to mathematically describe a physical system or a process in the form of a model usable for analysis and control purposes.
ContentThis class introduces generic system-modeling approaches for control-oriented models based on first principles and experimental data. The class will span numerous examples related to mechatronic, thermodynamic, chemistry, fluid dynamic, energy, and process engineering systems. Model scaling, linearization, order reduction, and balancing. Parameter estimation with least-squares methods. Various case studies: loud-speaker, turbines, water-propelled rocket, geostationary satellites, etc. The exercises address practical examples.
Lecture notesThe handouts in English will be sold in the first lecture.
LiteratureA list of references is included in the handouts.
151-0575-01LSignals and Systems Information 4 credits2V + 2UA. Carron, G. Ducard
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.
Prerequisites / NoticeControl Systems I is helpful but not required.