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
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Spring IV - V
2025-2026 Spring IV - V