Lecture "Design Space Exploration for Unmanned Systems"

 

Basic Information
Lecturers: Frank Ehlers (lecture and exercise)
Room: Unknown yet (see Univis for details)
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Language: English
Term: Winter term
Target group: Students in electrical engineering and computer engineering
Prerequisites: Interest in statistical signal processing and robotics
Contents:

Students attending this lecture learn how to apply a model-based approach to find and describe the origins of uncertainty when designing unmanned systems. Major elements of the model-based approach are the interfaces between system modules dealing with uncertainty in measurements, decision making, planning, and control. Associated to these interfaces is a mathematical framework which the students learn to detail for given real-world applications.

Topic overview:

  • System-of-Systems Design, Verification & Validation
  • Unified Architecture Framework (UAF), Ontology, SysML
  • Causal and Acausal Descriptions
  • Uncertainty Propagation
  • Bayesian Inference & Bayesian Decision Making
  • Data Fusion & Tracking
  • Control, Planning, and Learning
References:
  • J. Holt and S. Perry: SysML for System Engineering, IET Books, 2020
  • W. Koch: Tracking and Sensor Data Fusion, Springer, 2014
  • D. Koller and N. Friedman: Probabilistic Graphical Models, MIT Press, 2010

 

Registration for the Lecture

To get the lecture material, please send an e-mail to Dr. Frank Ehlers with your name, matriculation number, and e-mail address over which you will get the lecture material.

 

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