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4th International Conference on High Voltage engineering and Power Systems, ICHVEPS 2023

作者： Hartman, Harris Khayam, Umar Hamdani, Deny Mandaris, Dwi Galvez, Juan Robert Laurente Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Research Center of New and Renewable Energy Itb Bandung Indonesia Applied Electromagnetic Research Group Faculty of Engineering Badan Riset Dan Inovasi Nasional Universitas Mercu Buana Tangerang Selatan Jakarta Barat Indonesia Luz Del sur Operation Control Center Lima Peru

ISBN: (纸本)9798350318678

Indonesia is an archipelagic state and has various geographical conditions. This situation presents its own challenges for Indonesia in providing reliable electricity for the community, especially for the 3T (Frontier, Outermost, and Least Developed) regions. Off-Grid Solar Power Plant (PLTS) is a popular and rational option for supplying electricity to many of these areas. However, this generation system is intermittent so that if it is operated outside the utility grid, an energy storage device is needed. The most widely used energy storage device is the battery. A relatively inexpensive battery is a lead-acid type battery, but its life cycle is relatively short. © 2023 IEEE.

关键词： Lead acid batteries

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An identification of bioimpedance spectroscopy parameters by the least squares method 6th

An identification of bioimpedance spectroscopy parameters by...

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6th International Conference on Advanced engineering Theory and Applications, AETA 2019

作者： Ozana, Stepan Prauzek, Michal Konecny, Jaromir Kawala-Sterniuk, Aleksandra Department of Cybernetics and Biomedical Engineering VSB-Technical University of Ostrava Ostrava-Poruba Czech Republic Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

ISBN: (纸本)9783030530204

This contribution deals with identification of bioimpedance spectroscopy parameters for implementation on embedded platforms. The paper’s goal is to present method which is suitable for implementation in microcontrollers or field programmable gate arrays. The paper brings brief description of the state of the art and it reviews an equivalent electrical model and the least squares method as background of the work. In experimental part, the author presenting an experimental setup for data acquisition for electrical model and an identification approach including the implementation details of calculation of inverse matrix. In the result section the comparison between real and identified parameters is presenting and the results are evaluated in terms of accuracy. The proposed method can be considered as precise identification for the particular electrical model. The paper conclusion includes discussion about method accuracy and brief outline for future work. © Springer Nature Switzerland AG 2021.

关键词： Field programmable gate arrays (FPGA)

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Fractional Order vs Integer Order Transfer Function Models of a Pendulum

Fractional Order vs Integer Order Transfer Function Models o...

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International Conference on Automation, AUTOMATION 2021

作者： Oprzędkiewicz, Krzysztof Rosól, Maciej Żegleń-Wlodarczyk, Jakub Department of Automatic Control and Robotics Faculty of Electrotechnics Automatic Control Informatics and Biomedical Engineering AGH University of Science and Technology al. A Mickiewicza 30 Krakow30-059 Poland

ISBN: (纸本)9783030748920

The paper presents the comparison of fractional order to integer order transfer function models of physical pendulum. The considered transfer functions describe the behaviour of the system around the lower, stable equilibrium point. Fractional order models are built using ORA approximation. Models were verified using real experimental data. Results of tests show that the fractional order transfer function can correctly describe the physical pendulum. Integer order models are a little bit more accurate, but they require more parameters to identify. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Linear systems

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A Discrete, Fractional Order, Memory-Effective State Space Model of a RLC Circuit

A Discrete, Fractional Order, Memory-Effective State Space M...

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International Conference on Automation, AUTOMATION 2021

作者： Oprzędkiewicz, Krzysztof Department of Automatic Control and Robotics Faculty of Electrotechnics Automatic Control Informatics and Biomedical Engineering AGH University of Science and Technology al. A Mickiewicza 30 Krakow30-059 Poland

The paper presents a new, discrete, memory-effective state-space model of fractional RLC network. For the presented model its stability, positivity and reaction to different inital functions are analysed. Results are ... 详细信息

ISBN: (纸本)9783030748920

关键词： Timing circuits

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Input and state constrained inverse optimal control with application to power networks

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IFAC-PapersOnLine 2023年第2期56卷 5451-5456页

作者： Taouba Kaouther Jouini Zhiyong Sun Venkatraman Renganathan Veit Hagenmeyer Institute of Automation and Applied Informatics (IAI) at Karlsruhe Institute of Technology Germany Department of Electrical Engineering Eindhoven University of Technology Netherlands Department of Automatic Control LTH Lund University Sweden

We study input and state constrained inverse optimal control problems starting from a stabilizing controller with a control Lyapunov function, where the goal is to make the controller an explicit solution of the resulting constrained optimal control problem. For an appropriate cost design and initial states for which a sublevel set of the Lyapunov function is contained in the state constraint set and the initial input lies on an ellipsoid inside the input constraint set, we show that the stabilizing controller solves the constrained optimal control problem. Compared to the state-of-the-art, we avoid solving nonlinear optimization problems evaluated pointwise, i.e., for every state, or in a repetitive fashion, i.e., at each time step. We apply our theoretical results to study the angular droop control studied in (Jouini et al., 2022) of an inverter-based power network. For this, we accommodate the constraints on the angle and power generation and exemplify our approach through a two-inverter case study.

关键词： Optimal control Non-Linear control Systems Networked Systems Power and Energy Systems

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Delivering Improved Care through Remote Health Monitoring Systems by Using Microservices. Case Study: Fall Detection Encompassed into Connected Care 24

Delivering Improved Care through Remote Health Monitoring Sy...

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24th International Conference on control Systems and Computer Science, CSCS 2023

作者： Ianculescu, Marilena Alexandru, Adriana Giura, Ionut-Emanuel Vasilevschi, Ana-Mihaela National Institute for Research and Development in Informatics Communication Digital Applications and Systems Department Bucharest Romania University Politehnica of Bucharest Doctoral School of Automatic Control and Computers 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

ISBN: (纸本)9798350313390

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. © 2023 IEEE.

关键词： Fall detection

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A simplified pursuit-evasion game with reinforcement learning

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2021年第2期65卷 160-166页

作者： Paczolay, Gabor Harmati, Istvan Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics 2 Magyar Tudósok krt BudapestH-1117 Hungary

In this paper we visit the problem of pursuit and evasion and specifically, the collision avoidance during the problem. Two distinct tasks are visited: The first is a scenario when the agents can communicate with each other online, meanwhile in the second scenario they have to only rely on the state information and the knowledge about other agents' actions. We propose a method combining the already existing Minimax-Q and Nash-Q algorithms to provide a solution that can better take the enemy as well as friendly agents' actions into consideration. This combination is a simple weighting of the two algorithms with the Minimax-Q algorithm being based on a linear programming problem. © 2021 Budapest University of Technology and Economics. All rights reserved.

关键词： Reinforcement learning

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Constrained Predictive Current control in dq Frame for a Permanent Magnet Synchronous Machine

Constrained Predictive Current Control in dq Frame for a Per...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Madalin Costin Corneliu Lazar Dept.of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Iasi Romania Dept. of Automatic Control and Electrical Engineering "Dunarea de Jos" University of Galati Galati Romania

In the paper, the design and Simulink implementation of a predictive current control structure in dq frame for a permanent magnet synchronous machine (PMSM) are presented. Starting from the multivariable model of the currents in the dq reference frame, first it is decoupled and through the rejection of the disturbance introduced by the back-EMF, two single-input single-output (SISO) systems result whose dynamics are generated by R-L circuits. For these SISO systems, the model predictive control (MPC) algorithms are designed that allow the consideration of physical limitations through constraints The performances of the current control structure with MPC algorithms are compared with those obtained with the conventional PI controllers.

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Cardiovascular Model Identification Using Neural ODE

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IFAC-PapersOnLine 2024年第24期58卷 374-379页

作者： Bálint Szabó Ákos Antal Ákos Szlávecz Béla Paláncz Katalin Kovács Liam Murphy James Cushway Nicolas Davey Cong Zhou J. Geoffrey Chase Balázs Benyó Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary Department of Oral Diagnostics Faculty of Dentistry Semmelweis University Budapest Hungary Budapest University of Technology and Economics Faculty of Civil Engineering Department of Geodesy and Surveying Budapest Hungary University of Canterbury Christchurch NZ Széchenyi István University Faculty of Mechanical Engineering Informatics and Electrical Engineering Department of Informatics Győr Hungary University of Liege (ULg) GIGA-in silico medicine Liege Belgium

Acute circulatory failure (ACF) is a clinical syndrome when the heart and circulatory circulation cannot provide adequate blood supply to meet metabolic needs of the organs. ACF affects 30%- 50% of intensive care unit (ICU) patients. Fluid resuscitation is the primary treatment of ACF. However, it fails in a significant proportion (about 50%) of cases due to lack of clinically feasible non-invasive perfusion markers to assess the efficacy of the fluid therapy. Unfortunately, unsuccessful fluid therapy negatively affects patient outcome, increasing ICU length of stay and costs. Recent studies show identifying Stressed Blood Volume (SBV) of the cardiovascular system can be used to assess the potential efficacy of fluid therapy. The development of the diagnostic method requires the identification of the central arterial pressure curve based on the femoral arterial pressure, which is clinically available. This central arterial pressure curve can be used to identify the cardiovascular system parameters. In this study, the main goal was to develop a parameter-identification method for the Tube-load model-based transfer function connecting the femoral and central arterial pressure curve by using the so-called Physics-informed Neural Network methodology, namely the Neural ODE method. The study presents the adaptation of the Neural ODE method to the given parameter identification problem and the validation of the developed identification method. The robustness of the developed identification method was tested and used on a series of measurement data recorded in animal experiments.

关键词： personalized model-based medical therapy methods cardiovascular system physiological system modelling parameter identification transfer function Neural ODE intensive care

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Digital Twin and Cloud Based Remote control of Vehicles

Digital Twin and Cloud Based Remote Control of Vehicles

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Mobility, Operations, Services and Technologies (MOST), IEEE International Conference on

作者： Andras Rovid Viktor Tihanyi Márton Cserni Mihaly Csontho Adam Domina Viktor Remeli Zsolt Vincze Matyas Szanto Matyas Szalai Szabolcs Nagy Zsolt Szalay Department of Automotive Technologies Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics

ISBN: (数字)9798350307733

ISBN: (纸本)9798350307740

Cloud-based, centralized control system architectures have been published in recent years, examining the applications, structure and validity of the idea of controlling a vehicle, or multiple vehicles directly from the cloud. The literature presents possible advantages and disadvantages of control as a Service (CaaS), as well as multiple viable applications, however no real-car real-world implementation exists to the best of our knowledge. In our experiments, we demonstrate a real-life and real-time vehicle control method that runs in the cloud and reacts adaptively to the vehicle’s surroundings. In the presented tests, acquisition of the vehicle and environment state is performed from a collective perception-based digital twin that is also produced in our cloud-based Central System using data streams from our distributed sensor network. We conduct real-world physical vehicle tests, and establish that cloud-based centralized control is a viable solution, and an interesting research direction. We test our vehicle control in one mixed reality, and two real-world scenarios on the ZalaZONE proving ground in Hungary, Zalaegerszeg. Our experiments prove that cloud-based low-level vehicle control is feasible.

关键词： Cloud computing Atmospheric measurements Virtual reality Position measurement Particle measurements Digital twins Task analysis

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