Course details

Cyber-Physical Systems Design (in English)

CPSa Acad. year 2024/2025 Summer semester 5 credits

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.

Guarantor

Chudý Peter, doc. Ing., Ph.D., MBA (DCGM)

Course coordinator

Růžička Richard, doc. Ing., Ph.D., MBA (DCSY)

Language of instruction

English

Completion

Credit+Examination (written)

Time span

  • 26 hrs lectures
  • 12 hrs laboratories
  • 14 hrs projects

Assessment points

  • 60 pts final exam
  • 20 pts mid-term test
  • 20 pts projects

Department

Department of Computer Graphics and Multimedia (UPGM)

Lecturer

Chudý Peter, doc. Ing., Ph.D., MBA (DCGM)

Instructor

Chudý Peter, doc. Ing., Ph.D., MBA (DCGM)
Novák Jiří, Ing. (DCGM)

Learning objectives

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.

Study literature

  • Platzer A.: Logical Foundations of Cyber-Physical Systems, Springer, 2018, ISBN13 (EAN): 9783319635873.
  • Danda B. Rawat, Joel J.P.C. Rodrigues, Ivan Stojmenovic: Cyber-Physical Systems: From Theory to Practice, CRC Press, 2015, ISBN 9781482263329.

Fundamental literature

  • Rajeev Alur: Principles of Cyber-Physical Systems, The MIT Press, 2015, ISBN-10: 0262029111.

     

Syllabus of lectures

  1. Introduction to Cyber-physical systems.
  2. System identification and model parameter estimation.
  3. Physical system models.
  4. Simulation of physical models and introduction to cybernetic systems.
  5. Coupled Cyberp-Physical System models.
  6. Stability and control basics.
  7. System analysis and control in continuous time.
  8. System analysis and control in discrete time.
  9. Robust control.
  10. Drone control strategies.
  11. Autonomy of unmanned systems.
  12. Risk analysis of highly integrated systems.
  13. Verification and testing.

Syllabus of laboratory exercises

  1. Introduction to Matlab/Simulink and simulation of dynamic systems.
  2. System identification, model parameter estimation.
  3. Simulation and stability analysis of physical models.
  4. CPS control algorithms design.
  5. Control algorithm implementation in simulation environment.
  6. System testing and verification.

Syllabus - others, projects and individual work of students

  • Student will individually design a CPS.
  • Student will perform an analysis of a specific CPS.
  • Student will design and implement a CPS control system.

Progress assessment

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


Schedule

DayTypeWeeksRoomStartEndCapacityLect.grpGroupsInfo
Fri lecture lectures G202 13:0014:5080 1EIT 1MIT 2EIT 2MIT INTE NCPS xx Chudý
Fri laboratory lectures N105 15:0016:5020 1EIT 1MIT 2EIT 2MIT INTE xx

Course inclusion in study plans

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