Course: Cyber-Physical Systems

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Course title Cyber-Physical Systems
Course code KMI/KFS
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study 1
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Masopust Tomáš, doc. RNDr. Ph.D., DSc.
Course content
1. Introduction to cyber-physical systems 2. Reactive components and their properties 3. Composition of synchronous systems 4. Safety conditions, invariants, verification 5. Asynchronous processes and their properties 6. Safety, blockingness, fairness in asynchronous systems 7. Temporal logics 8. Model checking, Büchi automata, liveness 9. Continuous-time models, linear systems, controller design 10. Timed models and timed automata 11. Real-time scheduling, concepts, architecture, EDF scheduling 12. Hybrid systems, models, stability, linear hybrid systems

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes
Students will acquire the basic principles and techniques of cyber-physical systems
Ability to design, verify and analyze a cyber-physical system
Prerequisites
FJ - Formal Languages and Automata SLOZ - Complexity

Assessment methods and criteria
Oral exam, Written exam, Seminar Work

Active participation in the class. Completion of assigned homeworks. Passing the final exam.
Recommended literature
  • A. Platzer. (2018). Logical Foundations of Cyber-Physical Systems. Springer.
  • D. B. Rawat, J. J. P. C. Rodrigues, I. Stojmenovic. (2015). Cyber-Physical Systems: From Theory to Practice. CRC Press.
  • E. A. Lee, S. A. Seshia. (2011). Introduction to embedded systems: A cyber-physical systems approach. Lee & Seshia.
  • R. Alur. (2015). Principles of Cyber-Physical Systems. MIT Press.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Software Development (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer