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Modeling and Analysis of Hybrid Systems
In this lecture we address foundations of the modeling and analysis of hybrid systems. Information for the summer semester 2013:
Prerequisites:
Basic knowledge in automata theory
SWS:
3+1
Lecture times:
Tuesday 13:15 - 14:15 (room 5056)
Friday 13:30 - 14:45 (room 5056)
Exercise:
We offer two exercise dates, between which you may choose:
Tuesday 14:15 - 15:00 (room 5056)
Friday 15:00 - 15:45 (room 5056)
Start:
April 09, 2013
Language:
English or German (depending on the students' preferences)
Exam:
Written
ECTS credits:
6
To deepen the lecture contents, weekly exercise sheets should be solved in two-men-groups and handed in before the exercises. We provide sample solutions for the exercises, video recordings, the slides of the lecture, and a lecture script in L2P. Registration in the campus system and in L2P is required.
What are hybrid systems?
Hybrid systems are systems with mixed discrete and continuous behaviour. Typical examples are physical systems which continuously evolve over time and are controlled by some discrete controller, e.g., a chip or a computer.
Why modeling and analysis?
The behaviour of hybrid systems is often safety-critical. For example, in case of an accident an airbag can save the life of the car driver, but only if the airbag reacts in time. To assure the correct functioning of such safety-critical hybrid systems, their automatic synthesis and analysis is of high importance.
Lecture content:
First we introduce hybrid automata to model hybrid systems. Then we define certain classes of hybrid automata with increasing expressive power. For each class we discuss whether the reachability problem is decidable, and develop algorithms for their analysis. Finally we discuss methods for the over-appoximative representation of state sets and show how they can be used for reachability analysis.
Current lecture slides (might be modified during the semester):
Current lecture slides (might be modified during the semester):
Nr.
Theme
Slides
9.
Representations of the reachable sets
Evaluations
SS 10: Lecturer and lecture