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Fuzzy map models for mobile robots
Machek, Ondřej ; Burian, František (referee) ; Jura, Pavel (advisor)
This master thesis present a method for building topological maps for mobile robot navigation using neural network and neural fuzzy network. The master thesis concentrates on classification method. Neural fuzzy network is compared with two neural networks. It was also designed control algorithm exploration environment for autonomous mobile robot. This will rereduce the time to build the map. I developed simulation program in Matlab, which simulate move mobile robot in unknown environment.
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Fuzzy classification of DNA sequences
Těthal, Jiří ; Maděránková, Denisa (referee) ; Škutková, Helena (advisor)
The work deals with the fuzzy classification of DNA sequences. In the first part the theory summarized information about Fuzzy logic and methods of its use in the classification of biological sequence data. The second part is practically deal with the classification algorithm for assessing the similarity of sequences. Specifically, the dividing of coding and non-coding parts of the sequence and the use of fuzzy classification in DNA barcoding.
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Analysis of the Interface Systems and their Influence on the Product and Production Qualification
Strejček, Jan ; Nenadál, Jaroslav (referee) ; Skýpalová,, Ladislava (referee) ; Fiala, Alois (advisor)
This thesis study deals with the development of supplier relationship model, connection to the system concept of this relationship and the use of the fuzzy logic in the supplier evaluation. Thesis study focus on the evaluation of the supplier relationship from the quality point of view, further describes the role of the purchasing within the organization. Than is a description of the Lean concept in connection with the supply chain management. The practical part of the thesis study contains an analysis of a selected companies including supplier evaluation using a mathematical model – fuzzy logic. The conclusion and benefits are described in the final part of the thesis study .
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Methods for parameters setting of controller by plane with flight control with floating level centre in MATLAB-Simulink
Náglová, Katarína ; Burlak, Vladimír (referee) ; Pivoňka, Petr (advisor)
The thesis is focused on aircraft flight level control in case when the location of center of gravity changes during flight. The theoretical part of the thesis describes basics of aerodynamics, which are necessary to understand airplane's behavior and its control theory. Basics of state theory and stability of systems, as it is used for design of linear model. This part also mentions mathematical equations of nonlinear model of business jet and discusses conventional and adaptive methods used to design autopilot parameters. Several autopilots were designed in practical part of the thesis. The most important part is the logic used to determine location of center of gravity of the airplane. The models use nonlinear model of an airplane that better represents the real environment and conditions.
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Stochastic management storage function of water reservoir using method of artificial intelligence
Kozel, Tomáš ; Fošumpaur, Pavel (referee) ; Zezulák,, Jiří (referee) ; Starý, Miloš (advisor)
The main advantage of stochastic forecasting is fan of possible value, which deterministic method of forecasting could not give us. Future development of random process is described better by stochastic then deterministic forecasting. We can categorize discharge in measurement profile as random process. Stochastic management is worked with dispersion of controlling discharge value. In thesis is described construction and evaluation of adaptive stochastic model base on fuzzy logic, neural networks and evolution algorithm, which are used stochastic forecast from forecasting models described in thesis. The learning fuzzy model and neural network is used as replacement of classic optimization algorithm (evolution algorithm). Model was tested and validated on made up large open water reservoir. Results were evaluated and were compared with model base on traditional algorithms, which was used for 100% forecast (forecasted values are real values). The management of the large open water reservoir with storage function, which was given by stochastic adaptive managing, was logical. The main advantage of fuzzy model and neural network model is computing speed. Classical optimization model is needed much more time for same calculation as fuzzy and neural network model, therefore classic model used clusters for stochastic calculation.
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Autopilot of RC Plane
Denk, Filip ; Bidlo, Michal (referee) ; Mrázek, Vojtěch (advisor)
This thesis is focused on stabilization of the radio-controlled aircraft model. The aim is to create a system that could controll the direction of flight (without pilot intervention) itself. This system also includes determination of the aircraft’s position using a 3-axis gyroscope. The Arduino Uno microcontroller was used as a controll unit.
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Fuzzy decision models
Starý, Josef ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This master's thesis is focused on fuzzy decision-making using fuzzy inference systems. In the first part, the math theory necessary in this field is described. The main objective of the thesis is to create a fuzzy inference system with adaptive cruise control function. Mathematical software MATLAB is used to accomplish this goal. The system evalutes situations and decides on the vehicle's response based on input variables such as the vehicles's speed, the speed of the previous vehicle, and the distance between vehicles. Its functionality is tested in this thesis using simulations of fictional scenarios, and then the system is compared to real adaptive cruise control systems using real data.
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