Roy Smith: Katalogdaten im Frühjahrssemester 2023 |
| Name | Herr Prof. em. Dr. Roy Smith |
| Adresse | Dep. Inf.techno.u.Elektrotechnik ETH Zürich, ETL K 14.2 Physikstrasse 3 8092 Zürich SWITZERLAND |
| rsmith@control.ee.ethz.ch | |
| URL | http://people.ee.ethz.ch/~rsmith/ |
| Departement | Informationstechnologie und Elektrotechnik |
| Beziehung | Titularprofessor im Ruhestand |
| Nummer | Titel | ECTS | Umfang | Dozierende | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 227-0680-00L | Building Control and Automation MIBS: This course must be taken in the first year of coursework. | 3 KP | 2V + 2U | V. Behrunani, R. Smith, C. Gähler, M. Hudoba de Badyn, M. Yazdanie | ||||||||
| Kurzbeschreibung | Introduction to basic concepts from automatic control theory and their application to the control and automation of buildings. | |||||||||||
| Lernziel | Introduce 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. | |||||||||||
| Inhalt | Introduction 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 | |||||||||||
| Voraussetzungen / Besonderes | Exposure to ordinary differential equations and Laplace transforms. | |||||||||||
| 227-0690-13L | Robust Control and Convex Optimisation | 4 KP | 2V + 1U | R. Smith | ||||||||
| Kurzbeschreibung | Robust control theory addresses the problem of analysing and designing feedback systems that achieve performance objectives in the presence of uncertainty in the dynamics of the system. Convex optimisation forms the basis of the computational tools needed to solve these problems. The course covers the theory, computation, and practical applic. of these methods to a variety of uncertain systems. | |||||||||||
| Lernziel | To introduce students to the basic concepts in robust control and provide them sufficiently familiarity with the computational tools required to design robust controllers with verifiable characteristics in a variety of engineering system domains. | |||||||||||
| Inhalt | An optimization based approach to robust control theory and applications. Topics will include: H-infinity and H-2 control design; structured-singular value analysis and synthesis; model reduction; convex optimization; semi-definite programming; and interior-point methods. | |||||||||||
| Voraussetzungen / Besonderes | Control systems (227-0216-00L), Linear system theory (227-0225-00L), or equivalents, as well as sufficient mathematical maturity. | |||||||||||
| 227-0920-00L | Seminar in Systems and Control Findet dieses Semester nicht statt. | 0 KP | 1S | F. Dörfler, R. D'Andrea, E. Frazzoli, M. H. Khammash, J. Lygeros, R. Smith, M. Zeilinger | ||||||||
| Kurzbeschreibung | Current topics in Systems and Control presented mostly by external speakers from academia and industry. | |||||||||||
| Lernziel | Gain familiarity with the state of the art in control theory and practice. | |||||||||||
Kompetenzen |
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