Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After completing the course, the student

  • Can describe and explain the challenges of controlling multi-agent systems over communication networks 
  • Recognizes application areas of networked multi-agent systems 
  • Can apply knowledge from the course to design multi-agent systems that are connected over different types of networks
  • Can analyse and evaluate existing designs of networked multi-agent systems 
  • Can describe and assess the challenges and opportunities when applying machine learning methods to networked multi-agent systems 
  • Can present results of a group project in a written report and presentation such that a technically qualified person can follow. 

Credits: 5

Schedule: 26.02.2025 - 04.06.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Dominik Baumann, Deka

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    • Overview and Introduction
    • Communication System Models
    • Models of Networked Multi-agent Systems
    • Analysis and Design of Networked Multi-agent Systems
    • Resource-aware Control
    • Machine Learning in Networked Multi-agent Systems

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Homework assignments, group project (assessment includes work in the group, final reports and presentations, and engagement in discussions when other groups present their results)

Workload
  • valid for whole curriculum period:

    • Lectures and exercises
    • Homework assignments
    • Group project
      • Group work
      • Report writing
      • Presentation: presentation + discussion and preparation
      • Literature review

DETAILS

Study Material
  • valid for whole curriculum period:

    The course is new and there is no textbook that exactly covers the course content. Slides will be provided. Slides will be based on several text books, the core material will come from:
    • J. Lunze, Networked Control of Multi-Agent Systems
    • K. You, N. Xiao, L. Xie, Analysis and Design of Networked Control Systems (Chapters 1-8)
    • A. Bemporad, M. Heemels, M. Johansson, Networked Control Systems

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Spring IV - V
    2025-2026 Spring IV - V