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Nonlinear Control of Complex Systems by Utilization of Evolutionary Approaches
Minář, Petr ; Ošmera, Pavel (referee) ; Oplatková,, Zuzana Komínková (referee) ; Matoušek, Radomil (advisor)
Control theory of complex systems by utilization of artificial intelligent algorithms is relatively new science field and it can be used in many areas of technical practise. Best known algorithms to solved similar tasks are genetic algorithm, differential evolution, HC12 Nelder-Mead method, fuzzy logic and grammatical evolution. Complex solution is presented at selected examples from mathematical nonlinear systems to examples of anthems design and stabilization of deterministic chaos. The goal of this thesis is present examples of implementation and utilization of artificial algorithms by multi-objective optimization. To achieve optimal results is used designed software solution by multi-platform application, which used Matlab and Java interfaces. The software solution integrate every algorithms of this thesis to complex solution and it extends possible application of those approaches to real systems and practical world.
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Evolutionary Optimization of Control Algorithms
Weisser, Roman ; Šeda, Miloš (referee) ; Zelinka,, Ivan (referee) ; Ošmera, Pavel (advisor)
The dissertation thesis deals with Evolution optimization of control algorithms. The first part of the thesis describes the principles and partial methods of evolution optimization methods especially those used in two-level transplant evolution method. Later the grammatical evolution method is described, which modified algorithm became impulse for creation of transplant evolution method. The transplant evolution method and its two-level modification are new evolutionary algorithms proposed in this work, which were used for optimization of structure and parameters of general controllers control algorithms. The transplant evolution algorithm and its extended two-level modification are described in detail in next chapters. The proper settings of evolutionary algorithms are important for minimization the time of optimization and for finds results approaching the global optimum. For proper setting the parameters of differential evolution was created meta-evolution algorithm that is described in chapter named meta-evolution. The basic concepts of control, chosen methods of system identification and controller parameters settings are described in next part. This part describes algorithms of digital controllers and some specific methods uses in digital control. The demonstrations of control algorithm optimizations of various types of controllers are showed in experimental part. The optimized algorithms of general controllers are compared with various types of PSD controllers which were set by various algebraic methods or differential evolution for various models of systems. In the conclusion of this work is stated a recommendation for further development of evolutionary optimization of controllers are focusing on parallel and distributed computing.
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Electronic support for subject Computer hardware
Tomek, Mário ; Panáček, Tomáš (referee) ; Ošmera, Pavel (advisor)
This thesis deals with the creation of an electronic course, designation of a reliable support system for testing and also with the preparation and suggestion of testing questions for a Computer hardware subject. Another part of the thesis is the appending Graphical User Interface (GUI) for generation of questions of type “Cloze”. It means “Embedded answer” in Moodle. Nonetheless, the significant part of the thesis is the designation of its own E-learning information system. This system enables the students to have the opportunity to educate themselves and also to get prepared for the successful completion by passing the electronic exam.
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Design of omni directional mobile robot (O3-X) control
Olša, Petr ; Ošmera, Pavel (referee) ; Matoušek, Radomil (advisor)
This thesis deals with the design of a three-wheeled omni-directional robot control. The model of control is designed for robot´s omni-directional platform driven by maxon motor with the intelligent positioning controller EPOS. The design of control contains: - installation of the coordinated systems and transformation from one of them into another - design of system´s kinematical model - creation of classes for control and communication with EPOS - creation of the simulative program - planning of the mobile robot´s path - verification that the system is working The solution was based on continuous accelerated motion and the maximal acceleration of wheels was concerned, so that the slip would be suppressed. The function of the model was partly verified.
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Microscope Image Processing
Janda, Ondřej ; Ošmera, Pavel (referee) ; Matoušek, Radomil (advisor)
This diploma thesis deals with image processing of microbiological data. Firstly the brief introduction to biological basics is given. Secondly we take focus on basic and used image processing methods. Integral part of this thesis is working application witch uses image processing methods on input data. Creating user interface for this application is also part of this work. Documentation is provided.
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Optimalization of Constructional Teams Creation by Genetic Algorithms
Špaček, Jiří ; Zelinka, Ivan (referee) ; Šeda, Miloš (referee) ; Ošmera, Pavel (advisor)
The thesis pertains to optimisation of workgroups in companies. It is based on the work of Dr. Meredith Belbin from the Henley Management College, who is the author of the so-called Belbin’s team role theory. The theory defines fundamental roles within a team including specifications of the behavioural patterns while stipulating that in order to ensure proper functionality of a team, it is essential for all the roles to be represented in it. However, in practice it is necessary for specific people to comply not only with certain personal and psychological requirements but also professional expertise and other requirements. Nevertheless, by the means of adding these parameters to specific people, an enormous number of possible alternatives of the resulting team, which may not be evaluated (easily and in the real time) using traditional methods, proves to come to existence. Therefore, the so-called genetic algorithms inspired by natural development processes originally described by J. G. Mendel and Ch. Darwin were selected for evaluation purposes. The genetic algorithms feature good solutions to the task to be resolved in a very short time while the task does not have to be based on exact specifications and therefore several solutions might exist. A Java application was created within the scope of the thesis; its core comprises a genetic algorithm and it was used for the purpose of modelling of specific teams. The results provided by the application were subsequently verified by the means of creation of teams used for completion of new tasks and monitoring their activities in practice. Furthermore, the model verification of teams previously created solely on the basis of experience of executives was performed and the respective results were compared.
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Keyword spotting
Zemánek, Tomáš ; Ošmera, Pavel (referee) ; Pfeifer, Václav (advisor)
This thesis is aimed on design keyword detector. The work contains a description of the methods that are used for these purposes and design of algorithm for keyword detection. The proposed detector is based on the method of DTW (Dynamic Time Warping). Analysis of the problem was performed on the module programmed in ANSI C, which was created within the thesis. The results of the detector were evaluated using the metrics WER (word error rate) and AUC (area under curve).
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