Optimization of Dynamic Systems (ODS)

  • Typ: Lecture + Exercise
  • Lehrstuhl: IRS-RUS
  • Semester: WT 22/23
  • Zeit/Ort:

    Wednesday, 14:00-15:30, Neue Chemie + online (Zoom)
    Friday,           14:00-15:30, Neue Chemie + online (Zoom)

  • Beginn: Friday, 28.10.2022 (You can find the link to the Zoom-Meeting below)
  • Dozent:

    Prof. Dr.-Ing. Sören Hohmann
    M. Sc. Christopher Bohn

  • SWS: 3
  • ECTS: 5
  • LVNr.: 2303183
  • Prüfung: Written Exam
  • Hinweis:

    Diese Vorlesung wird in der englischen Sprache gehalten.

Lecturers

Overview

WT22/23

The first lecture will take place on Friday, October 28, 2022, 2:00 pm - 3:30 pm (Neuer Chemie Hörsaal). In the winter term 2022/2023, the ODS lecture will be offered in a hybrid format, i. e. in presence in the lecture hall and a complimentary live stream via Zoom.
 

Zoom-Link: https://kit-lecture.zoom.us/j/65950755631?pwd=T1hKZmxrU1hWUFlYbzFhVnlPQ0hjUT09 Passwort: 314159
 

ILIAS-Link: https://ilias.studium.kit.edu/goto.php?target=crs_1947542&client_id=produktiv  The password will be announced in the first lecture.
 

Contact

If you have any questions concerning the lecture or the exercise, please contact Christopher Bohn.

Recommendations

Systemdynamik und Regelungstechnik
Signals and Systems
Advanced Mathematics I-III

Teaching Content

Introduction
 

  • Unconstrained Parameter Optimization
  • Constrained Parameter Optimization
  • Dynamic Programming
  • Calculus of Variations

Literature

J. Nocedal: Numerical Optimization
M. Papageorgiou: Optimierung
K. Donald: Optimal Control Theory - An Introduction
A. E. Bryson: Applied Optimal Control

Course Material On Ilias all relevant course material (including lecture slides, exercise and tutorial sheets and semester schedule) can be downloaded

Workload

Presence in Lecture and Exercise: 45 h

Preperation and revision of the course content: 105 h

Goals

The students
 

  • know the mathematical basics and the fundamental methods and algorithms to solve constrained and unconstrained nonlinear static optimization problems.
  • can solve constraint and unconstraint dynamic optimization by using the calculus of variations approach and the Dynamic Programming method.
  • are able to transfer dynamic optimization problems to static problems.
  • know the mathematic relations, the pros and cons and the limits of each optimization method.
  • can transfer problems from other fields of their studies in a suitable optimization problem formulation and they are able to select and implement appropriate optimization algorithms for them by using common software tools
Exam

exam  WS22/23 on  Saturday, 4th March 2023 from 12:00 - 14:00 Audimax, Gerthsen-HS, Fasanengarten, Otto-Lehmann-HS

Results & Review

The results and the review date will be announced on the home page. The results as well as date and location of the review will be published in the showcase of the IRS (ground floor, building 11.20).

Evaluation

WS21/22 lecture
WS20/21 exercise

Studentische Mitarbeiter