Course detail

Cyber-Physical Systems Design (in English)

FIT-CPSaAcad. year: 2022/2023

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

Mode of study

Not applicable.

Guarantor

doc. Ing. Peter Chudý, Ph.D., MBA

Department

Department of Computer Graphics and Multimedia (UPGM)

Offered to foreign students

Of all faculties

Learning outcomes of the course unit

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.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

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

Course curriculum

Not applicable.

Work placements

Not applicable.

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.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

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

Type of course unit

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Peter Chudý, Ph.D., MBA

Syllabus

Introduction to Cyber-physical systems.
System identification and model parameter estimation.
Physical system models.
Simulation of physical models and introduction to cybernetic systems.
Coupled Cyberp-Physical System models.
Stability and control basics.
System analysis and control in continuous time.
System analysis and control in discrete time.
Robust control.
Drone control strategies.
Autonomy of unmanned systems.
Risk analysis of highly integrated systems.
Verification and testing.

Laboratory exercise

13 hod., compulsory

Teacher / Lecturer

doc. Ing. Peter Chudý, Ph.D., MBA

Syllabus

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

Project

13 hod., compulsory

Teacher / Lecturer

doc. Ing. Peter Chudý, Ph.D., MBA

Syllabus

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

Elearning

eLearning: currently opened course

VUT

Faculties

University Institutes

Parts

Cyber-Physical Systems Design (in English)

Type of course unit