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    Wyświetlanie 1-8 z 8
    Tytuł:
    The use of the MATLAB & SIMULINK environment to simulate the operation of a PV panel with an actual input function
    Autorzy:
    Jarmuda, T.
    Mikulski, S.
    Nawrowski, R.
    Tomczewski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/97441.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    photovoltaic cell
    modelling
    PV panels
    MATLAB
    environment
    Opis:
    The paper presents a method of modelling photovoltaic (PV) cells in the MATLAB & SIMULINK environment. A two-diode photovoltaic cell structure was developed, featuring series resistance. Measurements of a PV panel were carried out to determine the value of series resistance, open circuit voltage, and short-circuit current. The model suggested was used to operate the ST-STP020S-12/Cb panel with an actual input function (measurements of solar radiation power density of the south-east area of Poland in 2011). Simulation experiments were conducted of the system modelled to determine current changes, power changes, electric energy production, voltage-current characteristics, and to come up with results and draw final conclusions.
    Źródło:
    Computer Applications in Electrical Engineering; 2014, 12; 497-510
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural modeling of the electric power stock market in usage of MATLAB and Simulink tools for the day ahead market data
    Autorzy:
    Ruciński, D.
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/94831.pdf
    Data publikacji:
    2016
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    neuronal modelling
    MATLAB
    Simulink environment
    simulation research
    artificial neural network
    Opis:
    The work contains selected results of the modelling of neural Electric Power Exchange (EPE) in Poland. For modelling EPE system, artificial neural network (ANN) was constructed. ANN was learned and tested using of the next day market data. Generated neural model was used for simulation tests and susceptibility tests. Suitable model was implemented in Simulink. As a result of simulation tests and susceptibility testing a lot of interesting research results were obtained.
    Źródło:
    Information Systems in Management; 2016, 5, 2; 215-226
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Identification modeling of Polish electric power exchange
    Autorzy:
    Marlęga, R.
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/94879.pdf
    Data publikacji:
    2016
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    parametrical model
    identification modeling
    simulation research
    susceptibility testing
    MATLAB
    Simulink environment
    Opis:
    This paper contains selected results of identification modeling of Polish Electric Power Exchange (EPE). In order to obtain EPE system model it was performed identification based on figures of EPEís Day-Ahead Market. During performing identification process, parametric arx model in System Identification Toolbox environment was utilized. Generated EPE parametric model has been further used for performing simulation tests and realization of susceptibility testing. Suitable models were implemented in Simulink software. As a result of simulation and susceptibility testing, many interesting findings has been delivered.
    Źródło:
    Information Systems in Management; 2016, 5, 2; 195-204
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of a web application supporting gym management in terms of control and systems theory
    Autorzy:
    Tchórzewski, Jerzy
    Nabiałek, Wojciech
    Księżopolski, Artur
    Powiązania:
    https://bibliotekanauki.pl/articles/27323576.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    gym management
    identity theory
    MATLAB
    Simulink environment
    modeling
    simulations
    web systems
    Opis:
    An analysis of the web application supporting the management of the gym was carried out, which was designed in terms of the theory of control and systems. The obtained results of measurements of input and output quantities of selected subsystems were used to carry out the identification, as a result of which models of web application subsystems were obtained. On the basis of the obtained subsystem models, appropriate models were then designed in Simulink for the purposes of simulation and comparative studies of the behavior of subsystem models in relation to real systems that are web applications, including an appropriate analysis of the web application system model was carried out under the name of the gym on its selected subsystems, including in particular the subsystem called Generating a diet. In addition, testing and simulation studies were carried out to check the correct functioning of the web application management system model and the introduction of appropriate changes to the model was proposed, and the obtained research results were discussed, indicating the high accuracy of the obtained web application models.
    Źródło:
    Studia Informatica : systems and information technology; 2023, 1(28); 47--68
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural model of the vehicle control system in a racing game. Part 1, Design and its implementation
    Autorzy:
    Tchórzewski, Jerzy
    Bolesta, Arkadiusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2175160.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    Artificial Neural Networks
    Godot Engine
    MATLAB
    Simulink environment
    CLion IDE
    video games
    Opis:
    The publication consist of two parts. Part 1 contains the results of research on the design, learning and implementation of the Perceptron Artificial Neural Network as a model of neural control of car movement on the racetrack. This part 1 presents the results of studies, including review of the methods used in video racing games from the point of view of the selection of a method that can be used in the own research experiment, selection of the Artificial Neural Network architecture, its teaching method and parameters for the intended research experiment, selection of the data measurement method to be used in ANN training, as well as development design of a car game, its implementation and conducting simulation tests. In designing the game of vehicle traffic on the racetrack, among others, Godot Engine game engine and MATLAB and Simulink programming environment. The numerical data (14 input quantities and two output quantities) for ANN training were prepared with the use of semi-automatic measurement of the race track control points. Part 2 shows i.a. the results of the testing and simulation experiments that confirm the correct functioning of both the game and the model of the neural control system. There were also shown, among others, the possibility of continuing research in the field of increasing the flexibility of the racing game, in particular the flexibility of the vehicle traffic control system through the use of other artificial intelligence methods, such as ant algorithms or evolutionary algorithms.
    Źródło:
    Studia Informatica : systems and information technology; 2022, 1(26); 23--44
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Capabilities of MATLAB and Simulink related to modelling of Polish power exchange
    Autorzy:
    Tchórzewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/94981.pdf
    Data publikacji:
    2016
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    artificial neural network
    identification
    MATLAB
    Simulink
    environment
    Polish Power Exchange
    simulation
    Day Ahead Market
    Opis:
    The paper presents selected results of research on modelling a system of the POLISH Power Exchange in the MATLAB and Simulink environment. Modelling capabilities of various toolboxes and Matlab language were presented. Special attention was paid to identification modelling using System Identification Toolbox, neural modelling using Neural Network Toolbox and simulation modelling using Simulink. Research experiments were preformed based on the Day Ahead Market quotations. The obtained models of th type in SIT, an artificial neural network (ANN) in NNT and a block diagram in Simulink were subjected to comparative and sensitivity tests. Final results were interpreted.
    Źródło:
    Information Systems in Management; 2016, 5, 3; 424-435
    2084-5537
    2544-1728
    Pojawia się w:
    Information Systems in Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural model of the vehicle control system in a racing game. Part 2, Research experiments
    Autorzy:
    Bolesta, Arkadiusz
    Tchórzewski, Jerzy
    Powiązania:
    https://bibliotekanauki.pl/articles/2175161.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    Godot Engine
    MATLAB
    Simulink environment
    Neural control system
    Perceptron Artificial Neural Networks
    video games
    Opis:
    This article, which is a continuation of the article under the same main title and subtitle: part 1 Design and its implementation, includes the obtained results of research experiments with the use of a designed and implemented racing game. It uses a neural model of the vehicle motion control system on the racetrack in the form of a Perceptron Artificial Neural Network (ANN). In designing the movement of vehicles on the racetrack, the following were used, inter alia, Godot Engine and MATLAB and Simulink programming environment. The numerical data (14 input quantities and two output quantities) for ANN training were prepared with the use of semi-automatic measurement of the race track control points. This article shows, among others, the results of 10 selected research experiments, testing and simulation, confirming the correct functioning of both the computer game and the model of the neural control system. As a result of simulation tests, it turned out that the longest lap of the track in the conducted experiments lasted 4 minutes and 55 seconds, and the shortest - 10.47 seconds. In five minutes, the highest number of laps was 34, while the lowest numbers of laps were 1 and 5. In the course of the experiments it was noticed that under the same conditions the ANN learning outcomes are sometimes different.
    Źródło:
    Studia Informatica : systems and information technology; 2022, 1(26); 45--60
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction capabilities of the LSTM and Perceptron models based on the Day-Ahead Market on the Polish Power Exchange S.A.
    Autorzy:
    Ruciński, Dariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/27323577.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    shallow networks
    deep networks
    Day-Ahead Market
    MATLAB
    Simulink environment
    neural modeling
    prediction time
    electricity prices
    Opis:
    The main purpose of the research was to examine the properties of models for two kinds of neural networks, a deep learning models in which the Long Short-Term Memory was chosen and shallow neural model in which the Perceptron Neural Network was chosen. The subject of the examination was the Day-Ahead Market system of PPE S.A. The article presents the learning results of both networks and the results of the predictive abilities of the models. The research was conducted based on data published on the Polish Stock Exchange for the 2018 year. The MATLAB environment was chosen as a tool for providing the examinations. The determination index (R2) and the mean square error (MSE) was adopted as the network evaluation criterion for the learning ability and for the prediction ability of both networks.
    Źródło:
    Studia Informatica : systems and information technology; 2023, 1(28); 69--82
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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