Graduate Course on Embedded Control Systems: Theory and Practice
Sponsored by the ArtistDesign Network of Excellence
http://www.evidence.eu.com/content/view/322/313/
8-12 June 2009
Scuola Superiore Sant’Anna
RETIS Lab – CNR Area
Via Moruzzi, 1 – 56124 Pisa, Italy
ABSTRACT
The proposed course has two main objectives:
- Introducing the most important concepts and methodologies used to develop a real-time embedded system, including fundamentals of real-time scheduling, control and distributed systems;
- Showing how to apply these concepts to develop simple real-time control applications using an embedded platform specifically developed for education.
The course is developed in five days, each dedicated to a specific topic:
1. The first day introduces the basic principles of real-time computing and illustrates the most significant results on real-time scheduling.
2. The second day is devoted to the embedded platform and the kernel, to enable participants to quickly write a simple real-time demo, using the methodologies they learnt in the previous day.
3. The third day is focused on real-time control and explains how to design control applications taking timing constraints into account, and how to use control techniques to make real-time systems more adaptive to dynamic changes.
4. The fourth day is dedicated to real-time networks and addresses the problems of synchronization and medium access control that are encountered in distributed embedded systems, together with an analysis of end-to-end latencies.
5. The fifth day is dedicated to practical experience and implementation. The participants can interact with the teachers to propose a real-time control application, preferably distributed, either in a simulated environment or for controlling one of the platforms that will be provided by the teachers.
Organizers
Karl-Erik Arzen (Lund University, Sweden)
Giorgio Buttazzo (Scuola Superiore Sant’Anna, Pisa, Italy)
Luis Almeida (University of Porto, Portugal)
Course on Embedded Control Systems 8-12 June
Moderator: paolo.gai