Branch Details

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2015/2016Specialisation: Control of Machines and Processes

Programme: Machines and Equipment

Length of Study: 4 years

Accredited from: Accredited until: 31.12.2020

Profile

The aim of the study is to teach the students how to conduct their own research in control theory, artificial intelligence, soft computing (fuzzy logic, neural networks, evolutionary programming, …) and operations research applied to control of machines and technological processes, scheduling of manufacturing processes, development of expert and information systems and project management. The subjects of Ph.D. theses include identification, modelling, simulation and control of nonlinear systems, development of distributed monitoring and dispatcher systems, solving of complex optimisation problems, design and implementation of robot control and navigation, etc.
Students may continue both their short- and long-term study stays at universities abroad as part of the Socrates/Erasmus and CEEPUS programs. Such universities are in Bristol, Aalborg, Cluny, Utrecht, Tampere, and Maribor.

Occupational profiles of graduates with examples

As the studies combine automation, control, and computer science, thus covering several disciplines, the graduates can apply for research and development positions at both domestic and foreign companies dealing in applications of cutting-edge information technologies, design and manufacture of control and information systems and application of automation tools to the control of machines and technological processes.

Guarantor

Issued topics of Doctoral Study Program

  1. Design and implementation of adaptive control of smart buildings

    Dissertation thesis will deal with the development and application verified technologies of adaptive control smart houses, using multivariable analysis of signals obtained during the operation of these systems. Adaptation mechanisms are based on the principles of processing vague information using by Petri nets and knowledge base generated by IF - THEN rules. These tools will be used to compile simulation models and design of adaptive control of smart houses. The objective is to design and implementation an innovative methodology for the analysis and recognition of structures in the data for time-dependent for control of smart buildings.

    Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.


Course structure diagram with ECTS credits

Study plan wasn't generated yet for this year.