# Suchergebnis: Katalogdaten im Herbstsemester 2018

Elektrotechnik und Informationstechnologie Master | ||||||

Master-Studium (Studienreglement 2018) | ||||||

Systems and Control The core courses and specialization courses below are a selection for students who wish to specialize 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 | ||||||

Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|

227-0225-00L | Linear System Theory | W | 6 KP | 5G | M. Kamgarpour | |

Kurzbeschreibung | The 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. | |||||

Lernziel | Students 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. | |||||

Skript | Available on the course Moodle platform. | |||||

Voraussetzungen / Besonderes | Sufficient mathematical maturity with special focus on logic, linear algebra, analysis. | |||||

227-0697-00L | Industrial Process Control | W | 4 KP | 3G | M. Mercangöz, A. Horch | |

Kurzbeschreibung | Introduction to process automation and its application in process industry and power generation | |||||

Lernziel | Knowledge of process automation and its application in industry and power generation | |||||

Inhalt | Introduction to process automation: system architecture, data handling, communication (fieldbusses), process visualization, engineering, etc. Analysis and design of open loop control problems: discrete automata, decision tables, petri-nets, drive control and object oriented function group automation philosophy, RT-UML. Engineering: Application programming in IEC61131-3 (function blocks, sequence control, structured text); process visualization and operation; engineering integration from sensor, cabling, topology design, function, visualization, diagnosis, to documentation; Industry standards (e.g. OPC, Profibus); Ergonomic design, safety (IEC61508) and availability, supervision and diagnosis. Practical examples from process industry, power generation and newspaper production. | |||||

Skript | Slides will be available as .PDF documents, see "Learning materials" (for registered students only) | |||||

Voraussetzungen / Besonderes | Exercises: Tuesday 15-16 Practical exercises will illustrate some topics, e.g. some control software coding using industry standard programming tools based on IEC61131-3. | |||||

151-0563-01L | Dynamic Programming and Optimal Control | W | 4 KP | 2V + 1U | R. D'Andrea | |

Kurzbeschreibung | Introduction to Dynamic Programming and Optimal Control. | |||||

Lernziel | Covers the fundamental concepts of Dynamic Programming & Optimal Control. | |||||

Inhalt | Dynamic Programming Algorithm; Deterministic Systems and Shortest Path Problems; Infinite Horizon Problems, Bellman Equation; Deterministic Continuous-Time Optimal Control. | |||||

Literatur | Dynamic Programming and Optimal Control by Dimitri P. Bertsekas, Vol. I, 3rd edition, 2005, 558 pages, hardcover. | |||||

Voraussetzungen / Besonderes | Requirements: Knowledge of advanced calculus, introductory probability theory, and matrix-vector algebra. |

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