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20th Polish control Conference, PCC 2020

作者： Witkowska, Anna Armiński, Krzysztof Zubowicz, Tomasz Ossowski, Filip Śmierzchalski, Roman Department of Automatic Control Gdańsk University of Technology Gdańsk80-233 Poland Department of Electrical Engineering Control Systems and Informatics Gdańsk University of Technology Gdańsk80-233 Poland

ISBN: (纸本)9783030509354

In this paper, a problem of autonomous ship utility model identification for control purposes is considered. In particular, the problem is formulated in terms of model parameter estimation (one-step-ahead prediction). This is a complex task due to lack of measurements of the parameter values, their time-variability and structural uncertainty introduced by the available models. In this work, authors consider and compare two utility models based on often utilised ship model structures with time-varying parameters identified recursively using the extended Kalman lter (EKF). The validation results have been obtained using simulation experiments in which the required information for the parameter estimation task had been generated using a cognitive model of B-481 ship. The results indicate the benefits and drawbacks, in terms of estimation accuracy and computational complexity, of using each of the investigated utility model structures. © 2020, Springer Nature Switzerland AG.

关键词： Extended Kalman filters

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Continual Learning of a Time Series Model Using a Mixture of HMMs with Application to the IoT Fuel Sensor Verification

Continual Learning of a Time Series Model Using a Mixture of...

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Federated Conference on Computer Science and Information Systems (FedCSIS)

作者： Przemysław Głomb Michał Cholewa Paweł Foszner Jakub Bularz Institute of Theoretical and Applied Informatics Polish Academy of Sciences Gliwice Poland Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland AIUT Sp. z o.o. ul Gliwice Poland

This paper presents an application of a mixture of Hidden Markov Models (HMMs) as a tool for verification of IoT fuel sensors. The IoT fuel sensors report the level of fuel in tanks of a petrol station, and are a key component for monitoring system reliability (billing), safety (fuel/oil leak detection) and security (theft prevention). We propose an algorithm for learning a mixture of HMMs based on a continual learning principle, i.e. it adapts the model while monitoring a sensor over time, signalling unexpected or anomalous sensor reports. We have tested the proposed approach on a real-life data of 15 fuel tanks being monitored with the FuelPrime system, where it has shown a very good performance (average area under ROC curve of 0.94) of detecting anomalies in the sensor data. Additionally we show that the proposed method can be used for trend monitoring and present qualitative analysis of the short and long term learning performance. The proposed method has promising performance score, the resulting model has a high degree of explainability, limited memory and computation requirements and can be easily generalized to other domains of sensor verification.

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Reducing the energy consumption required for the disassembly process implemented on an assembly and disassembly line

Reducing the energy consumption required for the disassembly...

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International Conference on control Systems and Computer Science (CSCS)

作者： Paun Marius-Adrian Dragomir Otilia Elena Dragomir Florin Iliescu Sergiu Stelian Minca Eugenia Duca Octavian Gabriel Gurgu Ion Valentin Department of Automation and Industrial Informatics University “Politehnica” of Bucharest Bucharest Romania Faculty of Electrical Engineering Electronics and Information Technology Valahia University of Targoviste Targoviste Romania Faculty of Automatic Control and Computers University “Politehnica ” of Bucharest Bucharest Romania Department of Automation and Electrical Engineering University “Dunarea de Jos ” of Galati Galati Romania Institute of Multidisciplinary Research for Science and Technology Valahia University of Targoviste Targoviste Romania

This paper proposes a method to reduce the energy consumption of an industrial disassembly process implemented on a production line by using an energy-efficient secondary disassembly process. In the case of defective products, the flow directs the simple product with priority to be disassembled in workstation (WS) 7. Therefore, all defective products are redirected to WS7. The disassembly of all simple products in WS7 is problematic for two reasons: the power consumption of WS7 is high compared to the other workstations, additionally there is an increased possibility of bottlenecks in the production line due to the high disassembly time. The proposed solution to reduce the possibility of deadlock and reduce power consumption is to redirect the defective products to the flexible cell (FC). Handling robots located in neighboring stations will participate collaboratively in the disassembly process. The control structure ensures that the two robots "meet" in the boundary plane of WS3 with WS4 and disassemble each component through collaborative tasks. Collaborative control of disassembly is thought of as a solution to the global "fluidization" of production, removing the bottleneck, from the overall flow, but also as an ingenious solution to reduce energy consumption.

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Brightbox - A Rough Set Based technology for Diagnosing Mistakes of Machine Learning Models

SSRN

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SSRN 2023年

作者： Janusz, Andrzej Zalewska, Andżelika Wawrowski, Lukasz Biczyk, Piotr Ludziejewski, Jan Sikora, Marek Ślęzak, Dominik QED Software sp. z o.o. Mazowiecka 11/49 Warsaw00-052 Poland Institute of Informatics University of Warsaw Banacha 2 Warsaw02-097 Poland Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

The paper presents a novel approach to investigating mistakes in machine learning model operations. The considered approach is the basis for BrightBox - a diagnostic technology that can be used for analyzing prediction models and identifying model- and data-related issues. The idea is to induce from data the surrogate rough set-based models that approximate decisions made by the monitored black box models. Such approximators are used to compute neighborhoods of instances that undergo the diagnostic process - the neighborhoods consist of historical instances that were processed in a similar way by rough set-based models. The diagnostic process is then based on the analysis of mistakes registered in such neighborhoods. The experiments performed on real-world data sets confirm that such analysis can provide us with efficient and valid insights about the reasons for the poor performance of machine learning models. © 2023, The Authors. All rights reserved.

关键词： Machine learning

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Real-time control in single-phase power inverters

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IFAC-PapersOnLine 2019年第27期52卷 151-156页

作者： Krzysztof Górecki Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

The analysis of usability of selected digital signal controllers (DSC) in off-grid power inverters is presented in this paper. The digital signal controller’s task was to control the H-bridge through dedicated driver for power MosFET transistors and measurement of higher harmonics. NexFET power transistors with small channel resistance and small FOM coefficient were used for this purpose. Regular modulation with symmetrical triangle carrier signal was used as a modulation method. The main aim was to show the capabilities of Delfino digital signal controllers in real-time control of the power inverter and analysis of the possible implementations of voltage and harmonic measurements. These measurements can be used for regulation of the output voltage and reduction of the total harmonic distortion.

关键词： Power inverter digital signal controller (DSC) NexFET transistors pulse width modulation (PWM) intersective method

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Study of photophysical properties of Cdq2 thin film

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Materials Today: Proceedings 2022年 66卷 202-204页

作者： Lougdali, M. El Kouari, Y. Anoua, R. Zazoui, M. El Oudghiri-Idrissi, I. Abboud, Y. Zawadzka, A. Sahraoui, B. Laboratory of Materials Energy and Control System Faculty of Sciences and Technology Hassan II University of Casablanca Mohammedia B.P 146 Morocco Department of Automatic and Measurement Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Torun Poland Laboratory of Engineering Sciences for Energy National School of Applied Sciences of El Jadida El Jadida BP 1166 Morocco Faculty of Sciences Ben M'sik University of Hassan II of Casablanca Casablanca Morocco Centre for Modern Interdisciplinary Technologies Nicolaus Copernicus University Wilenska 4 Torun 87-100 Poland MOLTECH-Anjou UMR 6200 CNRS UNIV Angers 2 bd Lavoisier Angers 49045 France

In this work, the morphological and optical properties of the cadmium (II) bis(8-hydroxyquinoline) (Cdq2) thin film are presented. The film was elaborated by physical deposition technique. The Atomic Force Microscopy (AFM) image shows a homogenous surface. The transmittance was measured in the range of 300–1200 nm with UV–visible spectroscopy. The emission of the film was characterized via the photoluminescence spectroscopy, a strong luminescence has been found. The measurements done at low temperatures show a decrease of the intensity of luminescence in the temperature range of 77–300 K. © 2022

关键词： Thin films

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Delivering Improved Care through Remote Health Monitoring Systems by Using Microservices. Case Study: Fall Detection Encompassed into Connected Care

Delivering Improved Care through Remote Health Monitoring Sy...

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International Conference on control Systems and Computer Science (CSCS)

作者： Marilena Ianculescu Adriana Alexandru Ionuţ-Emanuel Giura Ana-Mihaela Vasilevschi Communication Digital Applications and Systems Department National Institute for Research and Development in Informatics Bucharest Romania Doctoral School of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania Counselors Department National Institute for Research and Development in Informatics Târgovişte Romania Faculty of Electrical Engineering Electronics and Information Technology Târgovişte Romania Valahia University of Târgovişte Târgovişte Romania

Based on today’s modern technologies, patient care can be provided remotely, in a connected way, being, at the same time, personalized, patient-centered and proactive. Such an approach can be achieved using Remote Health Monitoring Systems (RHMS). In case of elderly people, dramatic permanent deteriorations of their health status can be caused by falls. The seniors’ health and life style monitoring and the detection and/or prevention of falls can be done by such RHMS, an example being the RO-SmartAgeing system developed inside “Non-invasive Monitoring System and Health Assessment of the Elderly in a Smart Environment (RO-SmartAgeing)” research project. The paper presents the problem of using microservices for optimizing the architecture and functionalities of RO-SmartAgeing system, and the way in which the problems of ensuring the security of patient data can be solved.

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Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Gri...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Junyi Zhai Xinliang Dai Yuning Jiang Ying Xue Veit Hagenmeyer Colin N. Jones Xiao-Ping Zhang College of New Energy China University of Petroleum (UPC) China Karlsruhe Institute of Technology (KIT) Institute for Automation and Applied Informatics Germany Automatic Control Laboratory École Polytechnique Fédérale de Lausanne (EPFL) Switzerland School of Electric Power Engineering South China University of Technology (SCUT) China Department of Electronic Electrical and Systems Engineering University of Birmingham (UBir) Birmingham United Kingdom

The increasing application of voltage source converter (VSC) based high voltage direct current (VSC-HVDC) technology in power grids has raised the importance of incorporating DC grids and converters into the existing transmission network. This poses significant challenges in dealing with the resulting optimal power flow (OPF) problem. In this paper, a recently proposed nonconvex distributed optimization algorithm — Augmented Lagrangian based Alternating Direction Inexact Newton method (ALADIN), is tailored to solve the nonconvex AC/DC OPF problem for emerging voltage source converter (VSC) based multiterminal high voltage direct current (VSC-MTDC) meshed AC/DC hybrid systems. The proposed scheme decomposes this AC/DC hybrid OPF problem and handles it in a fully distributed way. Compared to the existing state-of-art Alternating Direction Method of Multipliers (ADMM), which is in general, not applicable for nonconvex problems, ALADIN has a theoretical convergence guarantee. Applying these two approaches to VSC-MTDC coupled with an IEEE benchmark AC power system illustrates that the tailored ALADIN outperforms ADMM in convergence speed and numerical robustness.

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Three-level NPC Inverter SVM Implementation on Delfino DSC

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IFAC-PapersOnLine 2019年第27期52卷 252-256页

作者： Krzysztof Górecki Krzysztof Rogowski Ryszard Beniak Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

The aim of the paper is to present implementation of reduced switch count space vector pulse width modulation for three-level neutral point clamped inverters (3L-NPC). The implementation was done using Delfino TMS320F28379D. This dual core digital signal controller (DSC) is used because of compute-intensive nature of implemented modulation. In presented solution the space vector pulse width modulation uses prediction algorithm to reduce the number of individual state changes in power transistors (switch count). This implementation is made because lower number of transistor switching reduces switching losses. The algorithm makes use of additional sets of transistors’ states corresponding to voltages at the output of inverter. Measurements of voltage waveforms and execution time of transistors control algorithm are presented in this paper. Obtained results indicate possibility of further optimization of THD levels and switch count reduction on used DSC.

关键词： Space Vector Modulation Three-level NPC inverter Digital Signal controller (DSC)

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Vision-based adaptive control system for fluidized bed reactors

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Measurement: Journal of the International Measurement Confederation 2025年 255卷

作者： Anweiler, Stanislaw Krok, Marek Kolodziej, Szymon Chacartegui, Ricardo Villanueva, Jose Antonio Becerra Sikora, Malgorzata Wasilewska, Barbara Przysiężniuk, Dawid Faculty of Mechanical Engineering Department of Process and Environmental Engineering Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland Faculty of Electrical Engineering Automatic Control and Informatics Department of Control Science and Engineering Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland Faculty of Mechanical Engineering Department of Vehicles Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland Department of Energy Engineering Escuela Técnica Superior de Ingenieros de Sevilla University of Seville Camino Descubrimientos s/n.- Isla Cartuja Seville41092 Spain Faculty of Mechanical Engineering Koszalin University of Technology Śniadeckich 2 Street Koszalin75-453 Poland Faculty of Production Engineering and Logistics Department of Production Management and Engineering Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland Faculty of Mechanical Engineering Opole University of Technology ul. Prószkowska 76 Opole45-758 Poland

In process engineering, precise, automatic, and dynamic identification of two-phase structures remains a challenging yet essential task, particularly for effectively controlling pneumatic systems handling solid particles. Complex interactions between gas and solid phases and variable flow geometries complicate the precise control of fluidized beds. This study evaluates an adaptive, vision-based flow control system designed for fluidized bed reactors, using real-time image analysis to characterize flow structures. A self-developed air flow valve regulator system, combined with a programmable logic controller (PLC) and dynamic image feedback, enables this innovative control approach. By analyzing grey-level signals within specified regions of interest (ROIs), the system accurately differentiates between critical fluidization regimes: bubbling, plugging, and turbulent flow. The control algorithm dynamically adjusts the flow rate, achieving a mean square error of 6.98 m3/h, underscoring the system's reliability and potential for further optimization. Additionally, safeguards were implemented to prevent material loss at high airflow thresholds, enhancing system stability and safety. The findings demonstrate the potential of adaptive vision-based control for fluidized bed automation, offering an advanced solution for real-time monitoring and precise flow regulation in complex two-phase processes. © 2025 The Author(s)

关键词： Image correlation

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