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

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.

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.

prof. Ing. Pavel Václavek, Ph.D.

1. Adaptation in neural- fuzzy systems

   Application of infinitely differentiable functions (with finite and compact suppost) as membership functions in neuro-fuzzy systems. Comparison results of adaptation with standard membership functions.

   Tutor: Jura Pavel, prof. Ing., CSc.

2. Automatic Methods for Embedded Applications Verification

   The topic is aimed to the analysis on existing methods and the development of new methods of embedded applications verification. Possibility of real-time algorithms security, reentrancy and execution collisions analysis will be studied. The work will consist of both theoretical research as well as practical applications on a selected family of processors suitable for control applications.

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

3. Dynamic filtration of the moving object pos

   It is to design a methodology of dynamic filtration of moving object position failure. The position is done by GPS and INS: Specify: - position failure as a function of time - statistical method used - modeling tool for the failure Design a dynamic filter to minimize the position failure on the basis of quadratic criteria with specific constraints (steering angel, engine power).

   Tutor: Zezulka František, prof. Ing., CSc.

4. Expert systems

   Expert systems are advanced technoligacal base for decision-making support. The aim of this work is partly research focused on the development of abstract symbolic knowledge modelling and partly on the usage of artificial intelligence methods for its processing. The outcome of this work will be the expert system for building and maintaining a shared company knowledge in the area of production processes.

   Tutor: Jirsík Václav, doc. Ing., CSc.

5. Localization of the mooving object by a drop-out of the GPS signal

   Carry out a study o localisation methods of a moving object by a drop - out of the GPS signal. Specify different cases of the drop-out in different applications. Take in account information from another information sources (IRS system and others). Study an influence of the GPS signal drop-out on the stability of the controlled moving object by different boundary conditions ( wheel angel, speed, others). Design an optimization methodology for correction of the position failure after the GPS signal new jump in.

   Tutor: Zezulka František, prof. Ing., CSc.

6. Orthogonal systems functions and its application at dynamic systems identification

   The aim of the task is application of orthogonal systems functions (namely Laguerre) at the dynamic systems identification.

   Tutor: Jura Pavel, prof. Ing., CSc.