Moses - Mathematical Methods of Turbulence Control I

Display language

To modulepage Generate PDF

Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SoSe 2020 - WiSe 2023/24.

Module / Version:
#50818 / #2

Validity:
SoSe 2020 - WiSe 2023/24

Default display language:
English

Module title:
Mathematical Methods of Turbulence Control I

Credits:
3

Responsible person:
Nayeri, Christian

Grading:
unbenotet

Type of exam:
Keine Prüfung

Zugehörigkeit

Faculty:
Fakultät V

Institute:
Institut für Strömungsmechanik und Technische Akustik

Area of expertise:
35311200 FG Experimentelle Strömungsmechanik

Prüfungsausschuss:
Physikalische Ingenieurwissenschaft

Kontakt

Office:
HF 1

Contact person:
Nayeri, Christian

E-mail address:
christian.nayeri@tu-berlin.de

Website:

http://fd.tu-berlin.de/studium-und-lehre/lehrveranstaltungen/

Learning Outcomes

In this course students learn modern mathematical methods of turbulence control. These methods include model-free control, model-based control, dynamic reduced-order models and flow estimators. Students attending this course will be able to control turbulent flows in experiment and/or simulations, to model and to analyze these flows.

Content

The course teaches following contents, e.g. - Regression problems in fluid mechanics for control, modeling, estimation and parametric dependencies - Regression solvers in fluid mechanics focusing on methods of machine learning - Model-free control, e.g. machine learning control - Model-based control with dynamic reduced-order models - Data analysis and state estimators from measurement signals

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Mathematische Methoden der Turbulenzregelung I	IV		WiSe	English	1

Workload and Credit Points

Mathematische Methoden der Turbulenzregelung I (IV):

Workload description	Multiplier	Hours	Total
Attendance	15.0	1.0h	15.0h
			15.0h(~1 LP)

Course-independent workload:

Workload description	Multiplier	Hours	Total
preparation and reworking	15.0	2.0h	30.0h
assignements/project	15.0	2.0h	30.0h
			60.0h(~2 LP)

The Workload of the module sums up to 75.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

The contents will be taught within a lecture in compact format and encourage self guided application of the methods under supervision. Execises and projects help to deepen the acquired knowledge.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

required: -fundamental fluid mechanics desired: -fundamental control theory and machine learning

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

ungraded

Type of exam

No exam

Language

German/English

Duration/Extent

No information

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 25.

Registration Procedures

Please register at secretary HF1 (fd-TB-office@win.tu-berlin.de).

Recommended literature
Learning from Data, Abu-Mostafa

Assigned Degree Programs

This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

The lecture will be given by Prof. Bernd Noack (http://berndnoack.com/). For further details contact him.

Mathematical Methods of Turbulence Control I