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Cyber-Physical Systems (IN2305)

Course 0000000290 in SS 2023

General Data

Course Type lecture with integrated exercises
Semester Weekly Hours 5 SWS
Organisational Unit Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
Lecturers Matthias Althoff
Florian Finkeldei
Hannah Markgraf
Chencheng Tang
Dates Mon, 16:00–18:00, MI HS3
Tue, 09:00–10:00, MI HS2
Wed, 16:00–18:00, MI HS2

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks In many modern systems, computing elements are tightly connected with physical entities for which the term "cyber-physical systems" has been established in recent years. Examples are automated vehicles, surgical robots, smart grids, and collaborative human-robot manufacturing. Discrete dynamics: modeling (Moore/Mealy machine, Petri nets, satecharts), solution traces, temporal logic, introduction to model checking, controller synthesis. Continuous dynamics: modeling, ordinary differential equations, solution of linear differential equations, simulation of differential equations, system properties, stability analysis, introduction to control of continuous systems. Hybrid dynamics: modeling (timed automata, hybrid automata, hybrid statecharts), simulation of hybrid dynamics, stability analysis, introduction to reachability analysis, introduction to reachability analysis, supervisory control.
Links E-Learning course (e. g. Moodle)
TUMonline entry
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