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A Comparison of Popular Band-limited Signal Reconstruction Methods
Telecký, Matyáš ; Mihálik, Ondrej
The paper focuses on the reconstruction of continuous and discrete signals observed during a finite time interval. For the task of signal recovery, the Gerchberg-Papoulis (GP) method is compared with a proposal for an improved GP implementation and with Slepian reconstruction method. These three methods are implemented in the MATLAB and applied to selected band-limited signals. Their results are compared in terms of computational complexity and reconstruction accuracy. The improved GP method and Slepian method are recommendable, as they remove problems associated with spurious signal periodicity that is usually induced by the FFT in the original GP method.
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Influence of the Reference Signals on the McRuer Models
Malatinec, Martin ; Mihálik, Ondrej
The article is concerned with modelling humanmachine systems using McRuer’s models, specifically modelling a control loop where a human acts as a controller. The main goal of this work was to investigate the influence of input signals on the response of the human operator. The article describes the functionality of the simulation scheme and the principle of measuring human responses. Finally, the measured data are processed and the observed results are evaluated.
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Digital twin of the heat exchanger station
Vancl, Radim ; Mihálik, Ondrej (referee) ; Husák, Michal (advisor)
The tesis deals with identification and realization of the simulation model of the exchange station. The theoretical part describes the concept of a digital twin and the components that are used in the model of the heath exchanger station. The practical part is divided into two parts. The first part describes the collection of data from the exchange station model. The second part describes the design of the model and the simulation of the exchanger station.
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Evaluation of driving speed influence on parameters of driver behavioural model
Vašička, Martin ; Mihálik, Ondrej (referee) ; Jirgl, Miroslav (advisor)
The thesis describes the changes in the driver behaviour model when the desired speed is changed during the measurement. The thesis first introduces the issues of driver modeling and human-machine systems (MMS). It lightly discusses McRuer models and describes the driving simulator. The thesis focuses on the design of the model structure for the measured step-change responses measured on the driving simulator and the evaluation of the data in terms of the quality of the control. A script in Matlab and its extension System Identification Toolbox is used to identify the different parameters to build the driver models. The paper concludes by showing the resulting differences between the driver behaviour at different measurement speeds.
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Influence of the reference signals on the McRuer models
Malatinec, Martin ; Husák, Michal (referee) ; Mihálik, Ondrej (advisor)
This thesis is concerned with modelling human-machine systems using McRuer's models, specifically modelling a control loop, where a human acts as a controller. The main goal of this work was to investigate the influence of input signals on the response of the human operator. This thesis describes the functionality of the simulation scheme and the principle of measuring human responses. Finally, the measured data are processed and the observed results are evaluated.
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Learning dictionaries for sparse signal representation
Ettl, Ondřej ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
This thesis focuses on examining data from measurements on a pressure mattress that uses a 30 × 11. sensor grid to collect. This data will be used to train and test learners dictionaries that are built using sparse signal representation. Applied learning methods include the method of optimal direction (MOD) and K-SVD, which uses singular decomposition. The resulting dictionaries for different numbers of iterations or atoms are then used to classify and reconstruction of the test data. Cross-validation determined the true positive ratio of the models, which was then compared with conventional classifiers. These models included Decision trees, KNNs and SVMs. Finally, the ability of the learning dictionaries was verified to filter the error in the corrupted image.
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Multiloop dynamical models of human driver
Čelko, Jakub ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
The thesis is focused on modelling human-machine systems, where a human operator controls a vehicle. The result of the work is a comparison of the prediction capabilities of chosen multiloop and single-loop human driver models. These models are applied in scenarios where, in addition to the lane change forcing function, there is also a disturbance signal that affects the vehicle’s motion. The parameters characterising the human dynamics are extracted from the model of the whole loop, defined as a discrete state-space model. The thesis also contains research on driver models, description of the used vehicle simulator and the Unreal Engine 4 environment used for its implementation. Documentation of implemented disturbance signals that act as a fault at the input of the regulated system is also presented. The identification results on the measured data suggest that the models relying on a single transfer function are losing prediction capabilities in scenarios, where the disturbances affect the vehicle. In such cases, the multiloop models with the same number of parameters are able to capture human behaviour more accurately.
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Accelerometer-based monitoring of steering wheel angle
Navrátil, Tadeáš ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
This thesis deals with the design of a device which will be used for measuring the steering wheel angle. Main goal was to design basic concept of device which is using data gathered from three accelerometers in the reconstruction algorithm to get steering wheel angle. Discussion of various reconstruction algorithms (with regards to simulated output noise levels from acceleromater) and final Implementation of reconstruction algorithm (in MATLAB simulink enviroment) is also part of this thesis. Furthermore, thesis deals with the selection of suitable components. Mainly selection of accelerometers, microcontroller and the selection of a suitable communication bus for mutual communication between them. Thesis also deals with design improvements of algorithm and realization of the whole device. In the end, we compare results of measuring device and inner senzor of steering wheel.
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Analysis of car drivers’ behaviour and driving style
Novik, Svatoslav ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
Driving safety remains one of the important issues. Various assistance systems are also implemented, which focus mainly on the analysis of driving and control of the car by the driver. To understand the performance of the driver’s control, a program was created to obtain valuable data and relevant characteristics. To obtain the data, we used an internally designed, laboratory-made vehicle driving simulator. Driver data was measured from the motor vehicle driving simulation, and these were examined and evaluated in the MATLAB environment thanks to integral criteria and other calculated parameters. The obtained values were then used as a training set for the machine learning, using LDA and QDA methods (linear and quadratic discriminant analyzing). This method then provided information on which values are most appropriate and then determines as precisely as possible which driver may be involved in future measures, when this information is not stated in advance.
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