Branch Details

Cybernetics, Control and Measurements

Original title in Czech: Kybernetika, automatizace a měřeníFEKTAbbreviation: PP-KAMAcad. year: 2019/2020

Programme: Electrical Engineering and Communication

Length of Study: 4 years

Accredited from: 25.7.2007Accredited until: 31.12.2020

Profile

Goals of this program are to educate most qualified specialists for research and scientific development as well.

Key learning outcomes

Graduates have outstanding knowledge in special area, determined by his/her PhD. project.
Special orientation is given by thesis;graduates are qualified for high positions in all branch.
Leader of research team,managers in industry.

Occupational profiles of graduates with examples

The graduate of the subject field obtains broad knowledge of subject of cybernetics control and/or measuremet. The knowledge is build mainly on theoretical background of the subject. Moreover the graduate will obtain deep special knowledge aimed in direction of his/her thesis. The graduate will be able to perform scientific and/or applied research based on up to date theoretical knowledge. The graduate will be able to organize and lead a team of researchers in the studied subject.

Supervisor

Issued topics of Doctoral Study Program

  1. AC Drives Contol based on NMPC Algorithms

    The topic is focused on research of AC drives advanced control algorithms. In the initial phase the student will study namely non-linear model predictive control algorithms. The research will be then aimed on analysis of NMPC algorithms behaviour for systems with fast dynamics and computational optimization of the algorithms with respect to possible implementation in drives control systems. The topic will be solved in relation to national and international projects running in cooperation with industrial partners.

    Tutor: Václavek Pavel, prof. Ing., Ph.D.

  2. Advanced Trajectory and Mission Planning for Mobile Robotics

    The topic is focused to methods for advanced path/trajectory planning of mobile robots in complex environment (hard outdoor terrain, urban areas, indoor areas) and with methods for mobile robot mission planning, including mission planning for a group of robots. It is supposed that the methods will widely use artificial intelligence methods, like deep learning or genetic algorithms. The work will aim to design of original algorithms and their testing on a robotic system ATEROS developed at DCI.

    Tutor: Žalud Luděk, prof. Ing., Ph.D.

  3. Anomaly detection methods based on time series analysis

    The topic is focused on automated analysis of process data, namely analysis of time series for detection of anomalies in technical systems and man-machine systems. The subject of the research will be methods of time-frequency signal analysis using automated selection and extraction of features for the purpose of detecting anomalies or classifying faults in systems where the training set is available. The purpose of the research is to enable the development and optimization of detectors in applications where relatively large training sets are available. The research will be carried out in connection with the running research projects and in cooperation with the application sphere.

    Tutor: Fiedler Petr, doc. Ing., Ph.D.

  4. Anomaly Detectors in Industry Visual Inspection

    A research topic is focused on anomaly detectors in an industrial vision inspection. Aim of a thesis is research, analysis, architectures description and implementation of selected algorithms in real-time. Selected methods are intended to solve tasks of too complex or even unfeasible description of detected structure. Vice versa, such tasks allow acquiring large-scale datasets. A theory of machine learning and statistical analysis has to be used to research anomaly detectors and their real-time implementations. A dichotomic classification process of OK-NOK classes should be result of the thesis.

    Tutor: Horák Karel, Ing., Ph.D.

  5. Artificial intelligence for mobile robot perception and operation

    Mobile robotics faces the problem of surround sensing and environment representation for decades, but now, with rapid development of artificial intelligence techniques and mass availability of powerful computational platforms, the topic moves from purely academic to highly practical research domain. The central point of the research is knowledge acquisition (segmentation, classification, registration) and representation (semantic maps) for real-time operation of a mobile robot. The work expects the student to get familiar with modern artificial intelligence tools such as deep learning, convolutional neural networks, probabilistic data fusion etc. and using them to improve the state of the art of robotic mapping. Expected applications of the research include autonomous driving, reconnaissance robotics and augmented reality.

    Tutor: Žalud Luděk, prof. Ing., Ph.D.

  6. Augmented Reality in Robotics

    The topic is focused on advanced techniques of augmented reality virtual reality and telepresence using in both mobile and stationary robotics in both outdoor and indoor environment. The goal is - based on the knowledge of the exact position and orientation of the operator's head or his representative (typically a mobile robot) in the environment to show the operator additional information using a virtual or augmented reality helmet to help him better resolve the mission. It is therefore necessary to deal with the exact localization in the external and internal environment. The work is also oriented to the way of data presentation so that the operator gets as much information as possible and at the same time there is no significant degradation of visual information from the environment itself. Last but not least, the robustness aspects of the entire system and security need to be addressed.

    Tutor: Žalud Luděk, prof. Ing., Ph.D.

  7. Autonomous Reconnaissance and Guarding of Defined Areas with Robotic Systems

    The main goal of this work is to familiarize with the current state-of-the-art in the area of autonomous robotic reconnaissance of previously known (with existing precise 3D map) area and to develop algorithms that will optimize appropriate selected parameters. It is supposed that a group of heterogeneous mobile robots supplied by stationery sensor stations with limited reach will be typically used. It is supposed the problems will be used with help of artificial intelligence techniques as well as advanced mathematical methods for trajectory planning. Practical use of the methods will be for guarding of critical infrastructure against intrusion of unauthorized people, technological accident, or contamination by dangerous substances. Except computer simulations it is supposed the designed algorithms and methods will be also tested on real robots of ATEROS robotic system developed at DCI.

    Tutor: Žalud Luděk, prof. Ing., Ph.D.

  8. Data fusion based analysis of human operator

    The research topic is focused on research in modeling and mathematical description of human operator behavior using data fusion. In particular, the research will include methods for data collection, data fusion and subsequent analysis of complex data obtained by real measurements performed on the vehicle driving simulator, with the assumption of the use and fusion of one-dimensional and multidimensional signals. The aim of the thesis is to design, implement and test the methodology for assessing the current state of the human operator, the research is also focused on the identification of negative factors influencing human behavior and the degrading ability to control the vehicle.

    Tutor: Fiedler Petr, doc. Ing., Ph.D.

  9. Devices for Generic Deep Learning Architectures

    Research is focused on machine vision employing deep learning architectures. These are able to process high datasets volumes of image data without explicit knowledge of an object class. The aim of the thesis is analysis and design of a specific hardware archtitecture of embedded device suitable for classification tasks and hardware archtitecture for training phase. Solution has to be valid for tasks of medical area, industry, traffic, informatics, etc. Implementation and verification part of the thesis will use common available tools as TensorFlow, Keras, etc.

    Tutor: Horák Karel, Ing., Ph.D.

  10. Localization of sound and vibration sources with non-contact methods

    The topic is aimed to the research of the methods and algorithms for non-contact localization and characterization of sound and vibration sources. Issues related especially with analysis of the sources with near-field acoustic holography method using microphone array will be studied with respect to its applicability for localization in confined space with reflections and other noise sources and also to increase the prediction accuracy with data fusion from other spatial measurement systems. In addition to the theoretical work, practical implementation of these methods and optimization of acoustical holography algorithms for use in the field of non-contact vibrodiagnostics and localization of noise sources in mechanical systems will be carried out.

    Tutor: Havránek Zdeněk, Ing., Ph.D.

  11. Machine Perception in ADAS Systems

    A thesis topic is about advanced driver assistance systems, so-called ADAS systems. Aim of a research is analysis and design of an augmented reality method for either autonomous car’s control systems or its visualisation for a driver assistance. Based on the state-of-the-art, an architecture enabling transfer learning or reinforcement learning for rapid speed increasing should be designed and implemented. Thesis result is integrated ADAS systems employing AI and processing available traffic dataset.

    Tutor: Horák Karel, Ing., Ph.D.

  12. Mathematical methods for extrapolation of band limited signals

    The topic is focused on research of mathematical methods for extrapolation of band-limited signals using PSWF (Prolate Spheroidal Wave Functions). Attention will also be paid to other mathematical methods for extrapolation and analysis of parameters affecting frequency limitation of utilized approximation functions and order of approximation of input signal. In addition to theoretical work, practical implementation of these methods and optimization of computational algorithms for use in the field of non-contact vibration diagnostics and noise source localization in mechanical systems are expected.

    Tutor: Havránek Zdeněk, Ing., Ph.D.

  13. Methods for characterization of acoustic sources in the ultrasonic frequency range

    The topic is focused on research of measurement methods and instrumentation for analysis of radiation characteristics of acoustic sources at high frequencies up to the area of ultrasound. In particular, non-contact measurement methods using optical principles and those that affect the measured acoustic field as little as possible will be studied. One of the most promising approaches of measurement is based on acousto-optical effect and tomographic reconstruction of the acoustic field using Radon transformation. The research will focus on the identification of practical limitations of these methods, the possibility of suppression of the parasitic effects during measurement and comparison of these methods with methods using direct measurements of acoustic quantities. Methods will be also practically implemented and evaluated for their applicability in measuring the radiation characteristics of ultrasonic sources. The topic will be solved in connection with national and international projects.

    Tutor: Havránek Zdeněk, Ing., Ph.D.

  14. Methods for the measurement of mechanical shock

    The topic is aimed on measurement and generation of mechanical shocks - calibration of shock sensors and calibration of artificial sources of mechanical shocks. The aim of the thesis is to analyze the parasitic influences that affect the overall measurement uncertainties and to find new methods for their suppression. The SPEKTRA CS18 calibration system and the AVEX SM110 MP shock machine will be available for research.

    Tutor: Beneš Petr, doc. Ing., Ph.D.

  15. Model Order Reduction for Complex Systems Control

    The topic is focused on the problem of model order reduction and related computation complexity reduction of dynamical systems models. The research will deal with methods suitable for linear as well as non-linear systems with respect to preserving system constraints. The goal of the work is to allow application of advanced control methods like MPC for systems, where direct application is not computationally feasible because of high model dimension. The studies will be performed in close relation to international and national research projects in cooperation with industry.

    Tutor: Václavek Pavel, prof. Ing., Ph.D.

  16. Modeling and analysis of cyber-physical system with a human operator

    Research focused to elimination of the influence of disturbances introduced into the control system by a human operator due to biophysical characteristics of humans. Research will be focused on measuring and modeling of the movement of the upper limbs in connection with cyber-physical control system by means of electro-mechanical element in order to find a method for separating the active ingredient from the movement disturbances caused by, for example, muscle oscillations. Consequently propose a method to eliminate the disturbances. Part of the research will be focused to quantification of benefits of training, thus assessing the impact of neuro-muscular subsystem on the ability of the operator to implement motion with minimal error component. To verify the model and the proposed methods flight simulators provided by the cooperating workplace (UNOB) will be used.

    Tutor: Bradáč Zdeněk, doc. Ing., Ph.D.

  17. Modelling and identification of human operator

    Research focused on modeling and identification of human operator parameters using data from a passenger car simulator. The aim of the research is to find a method that will allow on the basis of an exact quantification to assess the ability of the human operator to perform activities of sufficient quality, i.e. to assess the ability to reliably and safely control the motor vehicle. Research includes the design and evaluation of test scenarios for off-line identification of parameters, as well as verification of on-line detection capabilities in general conditions.

    Tutor: Fiedler Petr, doc. Ing., Ph.D.

  18. Modelling of special safety function with respect on industrial Ethernet

    The topic is aimed on research of new special safety functions special safety functions models for machinery and the process safety. The objectives of the thesis consist of the a thorough analysis of the current safety function models, research a thorough analysis of the current models available safety functions, examining the impact of communication, particularly an industrial Ethernet. The student will be designed new models on the base on the analysis and will develop new algorithms for verification of the relevant safety logic functions and security elements for machinery and process safety. The topic will be solved in relation to national and international projects running in cooperation with industrial partners.

    Tutor: Štohl Radek, Ing., Ph.D.

  19. Moisture measurement

    The topic is focused on the research of non-destructive methods for the measurement of surface and volume moisture of solid porous materials. The use of capacitive and microwave sensors is assumed. The research will be focused on the design of the sensor and the measurement method allowing to measure and model the moisture distribution in the volume of vertical and horizontal structures. The research will be performed in close relation to national research projects in cooperation with industry.

    Tutor: Beneš Petr, doc. Ing., Ph.D.

  20. Optimal control of industrial systems

    Design a new method for optimal control of industrial systems with regard to energy consumption and time reachability of industrial system states. A new method of optimal control has to be designed taking into account the requirements of complex automation systems, conceived as compatible with the requirements of Industry 4.0. Create a model of the industrial system, model the physical and technical properties and demonstrate the benefits of optimal control of a newly designed optimal control method. Topic will be addressed in cooperation with FME BUT.

    Tutor: Bradáč Zdeněk, doc. Ing., Ph.D.

  21. Optimal Control of Systems Group

    Design a new method for optimal control of the systems with regard to system throughput, availability and speed of serving and energy consumption. For the design of new control methods perform the research in the field of statistical processing behavior of systems groups and the behavior of people using these groups under varying conditions. Furthermore, perform a research intended to recognize and describe the behavior of people in the system groups. Carry out research into the use of artificial intelligence (fuzzy logic, genetic algorithms, artificial neural networks, etc.) and suggest the optimal method for managing the group management with regard to the defined requirements.

    Tutor: Bradáč Zdeněk, doc. Ing., Ph.D.

  22. Research of methods to improve localization accuracy inside buildings

    Research of indoor localization algorithms and methods based on wireless localization and communication system. Research is focused on assuring of quantitative localization parameters in wireless localization systems to assure quantification of quality and reliability of distance (location) measurement. The research will take advantage of data fusion methods in order to improve location accuracy based on combination of wireless localisation and information from inertial sensors. Research will therefore cover methods of data fusion, filtration and model based estimation to achieve acceptable indoor localization accuracy in challenging indoor conditions. One of the expected research outcomes is a methodology for placement of radio-beacons in order to minimize amount of beacons while maximizing location accuracy.

    Tutor: Bradáč Zdeněk, doc. Ing., Ph.D.

  23. Resilient software

    Research focused on methods of creating resilient software focusing on embedded systems. Research activities based on methods that are used to design software for applications requiring certification in the field of functional safety (ie. The generation, validation and verification of generated code), assuming that a significant part of R&D activities will focus on usability of available tools for formal specification and code generation for embedded applications including implementation of communication protocols. In the initial phase, it is expected to use Alloy-related tools and functional safety relevant Matlab packages. It is expected that the performed activities will be relevant for ECSEL SECREDAS project.

    Tutor: Bradáč Zdeněk, doc. Ing., Ph.D.


Course structure diagram with ECTS credits

1. year of study, winter semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
DET1Electrotechnical materials, material systems and production processescs4winterOptional specializedDrExyes
DEE1Mathematical Modelling of Electrical Power Systemscs4winterOptional specializedDrExyes
DME1Microelectronic Systemscs4winterOptional specializedDrExyes
DRE1Modern electronic circuit designcs4winterOptional specializedDrExyes
DTK1Optimization Methods and Queuing Theorycs4winterOptional specializedDrExyes
DFY1Junctions and nanostructurescs4winterOptional specializedDrExyes
DTE1Special Measurement Methodscs4winterOptional specializedDrExyes
DMA1Statistics, Stochastic Processes, Operations Researchcs4winterOptional specializedDrExyes
DAM1Selected chaps from automatic controlcs4winterOptional specializedDrExyes
DVE1Selected problems from power electronics and electrical drivescs4winterOptional specializedDrExyes
DBM1Advanced methods of processing and analysis of imagescs4winterOptional specializedDrExno
DJA6English for post-graduatescs4winterGeneral knowledgeDrExyes
DRIZSolving of innovative taskscs2winterGeneral knowledgeDrExyes
DEIZScientific publishing A to Zcs2winterGeneral knowledgeDrExyes
1. year of study, summer semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
DTK2Applied cryptographycs4summerOptional specializedDrExyes
DMA2Discrete Processes in Electrical Engineeringcs4summerOptional specializedDrExyes
DME2Microelectronic technologiescs4summerOptional specializedDrExno
DRE2Modern digital wireless communicationcs4summerOptional specializedDrExyes
DTE2Numerical Computations with Partial Differential Equationscs4summerOptional specializedDrExyes
DFY2Spectroscopic methods for non-destructive diagnostics cs4summerOptional specializedDrExno
DET2Selected diagnostic methods, reliability and qualitycs4summerOptional specializedDrExyes
DAM2Selected chaps from measuring techniquescs4summerOptional specializedDrExno
DBM2Selected problems of biomedical engineeringcs4summerOptional specializedDrExno
DEE2Selected problems of electricity productioncs4summerOptional specializedDrExyes
DVE2Topical Issues of Electrical Machines and Apparatuscs4summerOptional specializedDrExyes
DJA6English for post-graduatescs4summerGeneral knowledgeDrExyes
DCVPQuotations in a research workcs2summerGeneral knowledgeDrExyes
DRIZSolving of innovative taskscs2summerGeneral knowledgeDrExyes
1. year of study, both semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
DQJAEnglish for the state doctoral examcs4bothCompulsoryDrExyes