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Discrete Event Systems
Diskrete Ereignissysteme
Last Updated: 2026-02-05 14:53:09
Abstract
Introduction to the modeling, simulation and design of distributed discrete event systems. Examples are taken from computer networks, industrial computing, complex software systems and integrated control, communication and information systems
Objective
Introduction to the modeling, simulation and design of distributed discrete event systems. Examples are taken from computer networks, industrial computing, complex software systems and integrated control, communication and information systems
Content
The rapid evolution of computer technology enabled the development and proliferation of new dynamical complex systems. Key properties of those systems are concurrency and the asynchronous occurrence of discrete events. The process of developping new models and methods for event-driven systems is only a few years old. The computer is not only the object to be modeled but also plays an important role as a tool for system design, analysis, and control. 1. Properties of a class complex dynamical systems. 2. Modeling techniques. 3. Timed and un-timed models (FSM and Petri nets). 4. Stochastic models. 5. Simulation, design and verification based an the models of discrete event systems. Training using computer aided design tools.
Resources
Lecture Notes
Script, articles, exercises sheets.
General Information
- Language
- German
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Diskrete Ereignissysteme |
|
4 h weekly |