Suchergebnis: Katalogdaten im Herbstsemester 2019

Elektrotechnik und Informationstechnologie Master Information
Master-Studium (Studienreglement 2018)
Systems and Control
The core courses and specialisation courses below are a selection for students who wish to specialise in the area of "Systems and Control", see https://www.ee.ethz.ch/studies/main-master/areas-of-specialisation.html.

The individual study plan is subject to the tutor's approval.
Kernfächer
These core courses are particularly recommended for the field of "Systems and Control".
You may choose core courses form other fields in agreement with your tutor.

A minimum of 24 credits must be obtained from core courses during the MSc EEIT.
Advanced Core Courses
Advanced core courses bring students to gain in-depth knowledge of the chosen specialization. They are MSc level only.
NummerTitelTypECTSUmfangDozierende
227-0225-00LLinear System TheoryW6 KP5GJ. Lygeros
KurzbeschreibungThe class is intended to provide a comprehensive overview of the theory of linear dynamical systems, stability analysis, and their use in control and estimation. The focus is on the mathematics behind the physical properties of these systems and on understanding and constructing proofs of properties of linear control systems.
LernzielStudents should be able to apply the fundamental results in linear system theory to analyze and control linear dynamical systems.
Inhalt- Proof techniques and practices.
- Linear spaces, normed linear spaces and Hilbert spaces.
- Ordinary differential equations, existence and uniqueness of solutions.
- Continuous and discrete-time, time-varying linear systems. Time domain solutions. Time invariant systems treated as a special case.
- Controllability and observability, duality. Time invariant systems treated as a special case.
- Stability and stabilization, observers, state and output feedback, separation principle.
SkriptAvailable on the course Moodle platform.
Voraussetzungen / BesonderesSufficient mathematical maturity, in particular in linear algebra, analysis.
227-0697-00LIndustrial Process ControlW4 KP3GA. Horch, M. Mercangöz
KurzbeschreibungIntroduction to industrial automation systems with application to the process industry, power generation as well as discrete manufacturing.
LernzielGeneral understanding of industrial automation systems in different industries. Purpose, architecture, technologies, application examples, current and future trends.
InhaltIntroduction to process automation: system architecture, data handling, communication (fieldbuses), process visualization, and engineering. Differences and characteristics of discrete and process industries.
Analysis and design of open loop control problems: discrete automata, finite state machines, decision tables, and petri-nets. Practical analysis and design of closed-loop control for the process industry.
Automation Engineering: Application programming in IEC 61131-3 (ladder diagrams, function blocks, sequence control, structured text); PLC programming and simulation, process visualization and operation; engineering integration from sensors, cabling, topology design, function, visualization, diagnosis, to documentation; Industry standards (e.g. OPC, Profibus); Ergonomic design, safety (IEC61508) and availability, supervision and diagnosis.
Automation standards: Communication, Architecture, Engineering, dependable systems, functional safety, automation security.
Extensive practical examples from different process industries, power generation, gas compressor control, and automotive manufacturing.
SkriptSlides will be available as .PDF documents, see "Learning materials" (for registered students only)
LiteraturReferences will be given at the end of individual lectures.
Voraussetzungen / BesonderesExercises: Tuesday 15-16

Practical exercises will illustrate some topics, e.g. some control software coding using industry standard programming tools based on IEC61131-3.
151-0563-01LDynamic Programming and Optimal Control Information W4 KP2V + 1UR. D'Andrea
KurzbeschreibungIntroduction to Dynamic Programming and Optimal Control.
LernzielCovers the fundamental concepts of Dynamic Programming & Optimal Control.
InhaltDynamic Programming Algorithm; Deterministic Systems and Shortest Path Problems; Infinite Horizon Problems, Bellman Equation; Deterministic Continuous-Time Optimal Control.
LiteraturDynamic Programming and Optimal Control by Dimitri P. Bertsekas, Vol. I, 3rd edition, 2005, 558 pages, hardcover.
Voraussetzungen / BesonderesRequirements: Knowledge of advanced calculus, introductory probability theory, and matrix-vector algebra.
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