Lecturer | Prof. Matthias Althoff |

Teaching Assistants | Ahmed El-Guindy, Bastian Schürmann |

Module | IN2305 |

Type | Lecture |

Semester | SS 2017 |

ECTS | 6.0 |

SWS | 3V+2Ü |

Audience | Elective for Master students in the following programs: Informatics; Information Systems; Robotics, Cognition, Intelligence; Automotive Software Engineering |

Time & Place | Mon 08:30 - 10:00 Seminar room 00.13.009A Tue 13:00 - 13:45 MW 1050, Johann-Bauschinger-Zeichensaal (in mechanical engineering building) |

Exercise | Fri 10:15 - 11:45 E.126, Hörsaal IMETUM (in IMETUM buidling) |

# News

- Starting Monday, 08.05: We had to change rooms since the old ones were too small. Please note that the new rooms are already booked on some days, so that we have to go back to the old ones on those. It is thus advisable to look up the room in TUM Online on a day to day basis.
- On Friday, 27.04 we will offer a lecture instead of an exercise.

# Description

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. After attending the course, students are able to model, analyse, and control cyber-physical systems at a level that enables them to continue deeper studies on their own.

Students are able to model cyber-physical systems and have a deep understanding of the interplay between continuous dynamics arising from physical entities (e.g. mechanical systems) and discrete dynamics originating from computing elements (e.g. discrete event control), leading to so-called hybrid dynamics. Students will be capable of designing, analysing, and controlling cyber-physical systems on a basic level. They can extract the relevant dynamical aspects of cyber-physical systems, discuss with experts on those and develop solutions on their own that meet given specifications.

# Content

- continuous dynamics: modeling, ordinary differential equations, system properties, solution of linear differential equations, simulation of differential equations, stability analysis, introduction to control of continuous systems;

- discrete dynamics: modeling (Moore/Mealy machine, Petri nets, satecharts), solution traces, temporal logic, introduction to model checking, controller synthesis;

- hybrid dynamics: modeling (timed automata, hybrid automata, hybrid statecharts), simulation of hybrid dynamics, stability analysis, introduction to reachability analysis, supervisory control;

- networks of cyber-physical systems; typical hardware (sensors, actuators, computing hardware)

# Material

The material is provided through the moodle website.

# Literature

- E. A. Lee and S. A. Seshia,Introduction to Embedded Systems - A Cyber-Physical Systems Approach, LeeSeshia.org, 2011.
- P. Marwedel, Embedded System Design: Embedded Systems Foundations of Cyber-Physical Systems, Springer
- A. J. Van Der Schaft, An Introduction to Hybrid Dynamical Systems, Springer