Course detail

Cyber-Physical Systems Design (in English)

FIT-CPSa Acad. year: 2024/2025 Summer semester

The Cyber-Physical Systems combine cybernetic (computation and/or communication) and physical properties (motion or other physical processes). The application of such systems covers automotive, flight control and defense systems, critical infrastructure control (power grids, water resources, communication systems), energy management and storage, transportation control and safety, communication systems, robotics and distributed robotics (telemedicine), medical technologies, systems for assisted living, consumer electronics, toys and other smart devices. These devices interact in physical world through computer controlled algorithms. Design of the CPS control algorithms is a challenging discipline considering their tight coupling to physical systems behavior. An important design aspect to be considered is the correctness of the control algorithms itself, as the execution of critical control tasks depends on their correct function, as is the case in aircraft and/or car collision avoidance in automatic or autonomous modes, respectively. The aim of the course is to find an answer to an important social question, how to responsibly design critical Cyber-Physical Systems on whose flawless function depend human lives.

Language of instruction

English

Number of ECTS credits

Supervisor

doc. Ing. Peter Chudý, Ph.D., MBA

Department

Department of Computer Graphics and Multimedia

Rules for evaluation and completion of the course

Mid-term exam – 20 points.
Completion of individually assigned project – 20 points.
Final exam – 60 points.

Aims

The aim of the course is to stimulate an understanding of the design and analysis of Cyber-Physical Systems (CPS), which integrate computer systems into physical processes. Simultaneously, the course also addresses the synthesis of highly reliable real-time systems. The design and programming of control systems in laboratory conditions is an integral part of the course.
A successful graduate will acquire the understanding of basic CPS principles and knowledge in the design and analysis of computer systems integrated into real physical processes. The acquired knowledge will allow for a qualified insight into the system abstraction and architecture, and will simultaneously support the mastering of model and control system designs while using adequate safety specifications to fulfill desired CPS performance targets. The acquired knowledge and skills will support verification of adequate CPS models while taking into account the expected effects of the environment on their function.

The study programmes with the given course

Programme N-AAE-P: Advanced Automotiv Engineering, Master's, compulsory

Programme MIT-EN: Master of Information Technology, Master's
specialization MITP-EN: Master of Information Technology, compulsory-optional

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NADE: Application Development, elective

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NBIO: Bioinformatics and Biocomputing, elective

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NCPS: Cyberphysical Systems, compulsory

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NEMB: Embedded Systems, elective

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NGRI: Computer Graphics and Interaction, elective

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NHPC: High Performance Computing, elective

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NIDE: Intelligent Devices, elective

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NISD: Information Systems and Databases, elective

Programme MITAI: Information Technology and Artificial Intelligence, Master's
specialization NISY: Intelligent Systems, elective