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 |
ducard@idsc.mavt.ethz.ch | |
Department | Mechanical and Process Engineering |
Relationship | Lecturer |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
151-0573-00L | System Modeling | 4 credits | 2V + 2U | G. Ducard | |
Abstract | Introduction 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. | ||||
Objective | Learn how to mathematically describe a physical system or a process in the form of a model usable for analysis and control purposes. | ||||
Content | This 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 notes | The handouts in English will be sold in the first lecture. | ||||
Literature | A list of references is included in the handouts. | ||||
151-0575-01L | Signals and Systems | 4 credits | 2V + 2U | A. Carron, G. Ducard | |
Abstract | Signals 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. | ||||
Objective | Master the basics of signals and systems. Apply this knowledge to problems in the homework assignments and programming exercise. | ||||
Content | Discrete-time signals and systems. Fourier- and z-Transforms. Frequency domain characterization of signals and systems. System identification. Time series analysis. Filter design. | ||||
Lecture notes | Lecture notes available on course website. | ||||
Prerequisites / Notice | Control Systems I is helpful but not required. |