Roy Smith: Catalogue data in Spring Semester 2021

Name Prof. Dr. Roy Smith
Address
Dep. Inf.techno.u.Elektrotechnik
ETH Zürich, ETL K 14.2
Physikstrasse 3
8092 Zürich
SWITZERLAND
Telephone+41 44 632 87 83
E-mailrsmith@control.ee.ethz.ch
URLhttp://people.ee.ethz.ch/~rsmith/
DepartmentInformation Technology and Electrical Engineering
RelationshipAdjunct Professor

NumberTitleECTSHoursLecturers
227-0216-00LControl Systems II Information 6 credits4GR. Smith
AbstractIntroduction to basic and advanced concepts of modern feedback control.
ObjectiveIntroduction to basic and advanced concepts of modern feedback control.
ContentThis course is designed as a direct continuation of the course "Regelsysteme" (Control Systems). The primary goal is to further familiarize students with various dynamic phenomena and their implications for the analysis and design of feedback controllers. Simplifying assumptions on the underlying plant that were made in the course "Regelsysteme" are relaxed, and advanced concepts and techniques that allow the treatment of typical industrial control problems are presented. Topics include control of systems with multiple inputs and outputs, control of uncertain systems (robustness issues), limits of achievable performance, and controller implementation issues.
Lecture notesThe slides of the lecture are available to download.
LiteratureSkogestad, Postlethwaite: Multivariable Feedback Control - Analysis and Design. Second Edition. John Wiley, 2005.
Prerequisites / NoticePrerequisites:
Control Systems or equivalent
227-0680-00LBuilding Control and Automation
MIBS: This course must be taken in the first year of coursework.
3 credits2V + 2UF. Bünning, J. Lygeros, A. Bollinger, C. Gähler, R. Smith
AbstractIntroduction to basic concepts from automatic control theory and their application to the control and automation of buildings.
ObjectiveIntroduce students to fundamental concepts from control theory: State space models, feedback. Demonstrate the application of these concepts to building control for energy efficiency and other objectives.
ContentIntroduction to modeling
State space models and differential equations
Laplace transforms and basic feedback control
Discrete time systems
Model predictive control for building climate regulation
Regulating building energy consumption and energy hub concepts
Practical implementation of Building Automation (BA) systems:
- Energy-efficient control of room air quality, heating and cooling, domestic hot water, shading, etc.
- Stability and robustness; Cascaded control
Prerequisites / NoticeExposure to ordinary differential equations and Laplace transforms.
227-0920-00LSeminar in Systems and Control0 credits1SS. Bolognani, R. D'Andrea, J. Lygeros, R. Smith
AbstractCurrent topics in Systems and Control presented mostly by external speakers from academia and industry.
Objectivesee above