Distributed Real-Time Systems

At the end of the course, students have an understanding of the intersection of communication technology and distributed real-time control in multi-agent systems. Specifically, students will learn: The goals and the techniques for the analysis of consensus and synchronization in multi-agent distributed and networked systems as well as the design of communication structures of networked controllers. controllers.

Contents

  • Motivation for distributed real-time systems and networked control
  • Basics of algebraic Graph Theory
  • Consensus in Multi-agent systems, continuous time / discrete time consensus, consensus over switching networks, special cases: leader-follower systems
  • Synchronization of Multi-agent systems, asymptotic results, synchronization for identical and non-identical agents, synchronizing networks
  • Design of communication structures for distributed real-time systems, Delay measures, Examples including Cooperative Adaptive Cruise Control

Dates

Summer term

Lecture

  • TBA

Exercise

  • TBA

Materials

Materials will be distributed via Stud.IP

Exam

Written Exam (90 min)

Prüfungs- und Vorlesungsanmeldung


Ihr Dozent

Prof. Dr. Amr Rizk
Professors
Address
Appelstraße 9a
30167 Hannover
Building
Room
Prof. Dr. Amr Rizk
Professors
Address
Appelstraße 9a
30167 Hannover
Building
Room

Ihre Betreuerinnen und Betreuer

Karim Elsayed
External Employees
Address
Appelstraße 9a
30167 Hannover
Building
Room
Karim Elsayed
External Employees
Address
Appelstraße 9a
30167 Hannover
Building
Room