Technische Universität Ilmenau

Optimization and Inverse fields in electrical engineering - Modultafeln of TU Ilmenau

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module properties module number 100477 - common information
module number100477
departmentDepartment of Electrical Engineering and Information Technology
ID of group2117 (Advanced Electromagnetics)
module leaderProf. Dr. Hannes Töpfer
languagedeutsch
term Sommersemester
previous knowledge and experience

Theoretische Elektrotechnik (Theorie elektromagnetischer Felder)

learning outcome

1. Fachkompetenz:

  • Anwendungsbereite Grundlagen der elektromagnetischen Feldtheorie
  • Einbindung in die Bewertung technischer Aufgabenstellungen

2. Methodenkopmpetenz:

  • Systematische Anwendung von Methoden zur Analyse und Bewertung elektromagnetischer Feldprobleme
  • Systematisches Erschließen und Nutzen des Fachwissens/Erweiterung des Abstraktionsvermögens
  • Methoden zur systematischen Behandlung von Ingenieurproblemen zum elektromagnetischen Feld

3. Systemkompetenz:

  • Fachübergreifendes system- und feldorientiertes Denken, Training von Entwurfskreativität

4. Sozialkompetenz:

  • Lernvermögen, Flexibilität
  • Arbeitstechniken, Mobilität, Kommunikation
  • Teamwork, Präsentation, Durchsetzungsvermögen

 

content

Inverse Feldprobleme im elektromagnetischen CAD-Prozess, Feldquellenidentifikation, Rekonstruktion von Feldquellen, "shapeoptimization", deterministische und stochastische Optimierungsverfahren, Regularisierungsverfahren, Lösung inverser Feldprobleme mit der Boundary-Element-Methode (BEM), Anwendung in der zerstörungsfreien Materialprüfung (NDE), Biomedizin etc.

media of instruction and technical requirements for education and examination in case of online participation

Vorlesungsskript zur Lehrveranstaltung, Folien

literature / references
  1. Bäck, T., H.-P. Schwefel (1996): Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms. Oxford University Press, New York
  2. Fletcher, R. (1987): Practical Methods of Optimization. John Wiley&Sons, Chichester Vol. 1 (1980): Unconstrained Optimization; Vol. 2 (1981): Constrained Optimization
  3. Goldberg, D.E. (1989): Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Publishing Company, Reading
  4. Michalewicz, Z. (1996): Genetic Algorithms + Data Structures = Evolution Programs (3rd Ed.). Springer-Verlag Berlin-Heidelberg
  5. Neittaanmäki, P.; M. Rudnicki; A. Savini (1996): Inverse problems and optimal design in electricity and magnetism. Clarendon Press, Oxford
  6. Rahmat-Samii, Y.; E. Michielssen (1999): Electromagnetic Optimization by Genetic Algorithms.Wiley, New York
  7. Rechenberg, I. (1994): Evolutionsstrategie ´94. Frommann-Holzboog, Stuttgart-Bad Cannstadt
  8. Rudnicki, M., S. Wiak (2003): Optimization and Inverse Problems in Electromagnetism. Kluwer Academic Publishers, Dordrecht
  9. Schwefel, H.-P. (1995): Evolution and optimum seeking. Wiley, New York

 

evaluation of teaching
Details reference subject
module nameOptimization and Inverse fields in electrical engineering
examination number2100443
credit points5
SWS4
on-campus program (h)45
self-study (h)105
obligationobligatory module
examoral examination performance, 30 minutes
details of the certificate
alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
maximum number of participants10
Details in degree program Master Elektrotechnik und Informationstechnik 2014 (ATE)
module nameOptimization and Inverse fields in electrical engineering
examination number2100443
credit points5
on-campus program (h)45
self-study (h)105
obligationobligatory module
examoral examination performance, 30 minutes
details of the certificate
alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
maximum number of participants10