A request for accurate control and accurate synchronization of actuators can be found in many engineering applications. It is possible to combine standard methods with selected methods of artificial intelligence. The product will be applied in area of intelligent robotics. Hardware platforms from B+R automation Ltd. (word leader in areas of industrial automation and motion control) and also tools from Mathworks company (Matlab/Simulink) and dSpace will be used for the solution. Research will be also focused to perspective area of application of PowerLink the new industrial standard for 1Gbps network. The objectives: - Design and implementation of accurate control and synchronization algorithms for actuators. - System model transformation from Matlab/Simulink environment into embedded application of industrial computer (B+R automation, Ltd.). Verification of the model in real-time environment. - Using and testing of PowerLink the new industrial standard for 1Gbps network.

Tutor: Matoušek Radomil, prof. Ing., Ph.D.

The purpose of this research is to analyze frequency convertors in view of its utilization in automatic control. It concerns mainly application of frequency convertors for actuator mechanism and servomechanism with adjustable speeds and with adjustable torsion moment. It is presumed to analyze mainly dynamics properties of control loops and frequency convertors utilization design in relation to advanced techniques of automation control.

Tutor: Němec Zdeněk, doc. Ing., CSc.

Artificial intelligence methods belong among modern methods for optimization of system and process control. These methods are especially suitable to apply to problems that are very difficult to solve by using classical mathematical methods or where the application of deterministic computation methods would require unacceptable simplification of the problem. Obtaining the optimal data by means of modern methods and algorithms of artificial intelligence is an important task for solving problems of face localization and recognition in the area of system and process control. Approaches used by a graduant while solving the given task are as follows: Analysis of face localization methods, analysis of neural networks and genetic algorithms for face recognition.

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

An optimal control algorithm design of complex nonlinear system can be considered as nontrivial or unreal job in many cases. The objective of the assignment will be a design of optimization techniques leading to auto generation of optimal and robust control algorithm. In this context a utilization of advanced soft computing methods is particularly supposed and the comparison with classical non-linear control methods as well. The objectives: - Automatic generation of control algorithms (an utilization of evolutionary principles). - An implementation of control design methods in area of nonlinear dynamic systems. - Simulation and statistical verification of usability of designed methods.

Tutor: Matoušek Radomil, prof. Ing., Ph.D.

Evolutionary methods belong among modern methods for optimization of systems control. Using theese methods is especially suitable for problems which are very difficult to solve using classical mathematical methods or where using deterministic computation methods would require unacceptable simplification of the problem. An acquisition of the optimization data by means of modern methods and algorithms of artificial intelligence is a significant task in object recognition in robotics. Approaches used by a graduant solving the aforementioned task are as follows: Analysis evolutionary methods, analysis algorithms for grammatical evolution.

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

Conclusions and findings of this research will provide theoretical contribution for demanding automation regulation tasks in hydro power plant control. There is a need to extend mathematical models of particular parts of hydro power plant control system and to design alternative models of entire turbo generator unit. The purpose is to analyze with this designed control and technology parts simulation models regulation procedures mainly power output and speeds regulation. It is presumed to employ-Matlab Simulink environment.

Tutor: Němec Zdeněk, doc. Ing., CSc.

Discretization is used for analysis and synthesis the continuous-time control systems. But is possible their use for solutions of continuous-time systems and for simulation continuous-time systems. It is new aspect of the analysis the continuous-time control systems. One of the simplest ways of discretizing or approximating a continuous-time plant is numerical approximation of differential equations. Difference equations can be obtained by discretizing differential equations. The other way of discretization is discretization by z transformation of transfer function G(s). In this suggest work is solution by Euler's method and bilinear method of this transformation and a method when the derivative term is simply replaced by a first-order difference expression and the integral by a sum. A new part of work will be solutions of unit step response and impulse response of continuous-time systems by discrete methods. It will contain an algorithm for their calculation.

Tutor: Švarc Ivan, doc. Ing., CSc.