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International Conference on control systems and Computer Science (CSCS)

作者： George Cătălin Voicu Sorin N. Ciolofan Monica Drăgoicea Manager eMAG Bucharest Romania Department of Computer Science Politehnica University of Bucharest Bucharest Romania Department of Automatic Control and Systems Engineering Politehnica University of Bucharest Bucharest Romania

It is well known that nowadays children tend to spend lot of time playing games on mobile devices at the expense of reading books. The current research aims to explore ways to design and develop a mobile application, attractive for children, that uses voice recognition technology and gamification techniques to help children read more and better and to track the progress of reading. The application is implemented with Flutter, Dart and Firebase and is addressed to children, the books being made available in encyclopedia format. By integrating technologies such as NLP and gamification the application aims to improve reading fluency among children, but also to give them the opportunity to accumulate new and exciting information in the same time.

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Understanding the Resilience of Urban Rail Transit:Concepts,Reviews,and Trends

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engineering 2024年第10期41卷 7-18页

作者： Yun Wei Xin Yang Xiao Xiao Zhiao Ma Tianlei Zhu Fei Dou Jianjun Wu Anthony Chen Ziyou Gao Beijing Mass Transit Railway Operation Corporation Ltd. Beijing 100044China School of Systems Science Beijing Jiaotong UniversityBeijing 100044China Traffic Control Technology Corporation Ltd. Beijing 100160China Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHong Kong 999077China

As the scale of urban rail transit(URT)networks expands,the study of URT resilience is essential for safe and efficient *** paper presents a comprehensive review of URT resilience and highlights potential trends and directions for future ***,URT resilience is defined by three primary abilities:absorption,resistance,and recovery,and four properties:robustness,vulnerability,rapidity,and ***,the metrics and assessment approaches for URT resilience were *** metrics are divided into three categories:topology-based,characteristic-based,and performance-based,and the assessment methods are divided into four categories:topological,simulation,optimization,and *** of various metrics and assessment approaches revealed that the current research trend in URT resilience is increasingly favoring the integration of traditional methods,such as conventional complex network analysis and operations optimization theory,with new techniques like big data and intelligent computing technology,to accurately assess URT ***,five potential trends and directions for future research were identified:analyzing resilience based on multisource data,optimizing train diagram in multiple scenarios,accurate response to passenger demand through new technologies,coupling and optimizing passenger and traffic flows,and optimal line design.

关键词： Urban rail transit Resilience assessment Resilience improvement Network disruption

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Efficiency Evaluation of a Modular Step-Down 48-to-1V Converter with Shared Load Current

Efficiency Evaluation of a Modular Step-Down 48-to-1V Conver...

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Compatibility in Power Electronics (CPE)

作者： Robert Stala Zbigniew Waradzyn Serhii Stepenko Yevhenii Yatchenko Anatoliy Prystupa Department of Power Electronics and Energy Control Systems AGH University of Krakow Kraków Poland Department of Electrical Engineering Information and Measurement Technologies Chernihiv Polytechnic National University Chernihiv Ukraine

ISBN: (数字)9798350318265

ISBN: (纸本)9798350318272

This paper presents the results of the efficiency analysis of a modular DC-DC converter with an input voltage of 48 V and an output voltage of 1 V. This is a single stage Voltage Regulator Module (VRM), characterized by a high output current, but its modular structure allows reducing resistive losses. The output current is divided into parallel chokes and semiconductor cells, hence the expected decrease in its square value. The converter uses an input capacitor divider to reduce voltage stress across some components. The article presents the concept of system topology and control verified by the demonstration of current and voltage waveforms. The analysis of the efficiency of the system demonstrates the main sources of losses in the system and its efficiency, which is very important for the correct design of the converter. The results are presented for a case of a MOSFET-based four-module converter with a rated maximum power of 350 W and an output voltage of 1V.

关键词： Analytical models Power engineering Regulators Switching frequency Topology Transistors Voltage control

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Estimating the AGV load and a battery lifetime based on the current measurement and random forest application

Estimating the AGV load and a battery lifetime based on the ...

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IEEE International Conference on Big Data

作者： Krzysztof Hanzel Damian Grzechca Adam Ziebinski Lukas Chruszczyk Artur Janus Department of Telecommunications and Teleinformatics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Electronics Electrical Engineering and Microelectronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Distributed Systems and Informatics Devices Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Student of Electrical Engineering Faculty of Electrical Engineering Silesian University of Technology Gliwice Poland

The paper describes the energy consumption from the battery based on the current measurements for various cases, i.e., speed (PWL adjustment) and loads. The main purpose of the research is to have additional and reliable information about power consumption and battery life estimation for autonomous guided vehicles (AGV). The authors propose a two-step algorithm. In the first step, a linear classifier was proposed. Then, the KNN classifier was tested; however, it did not give satisfactory results, so it was finally decided to use the random forest to estimate the load and PWL. The time domain current measurement is evaluated, and the beforementioned algorithms process the selected statistical measures. It has been proven that a two-step algorithm allows for achieving high accuracy. Based on the current observation, the paper is a good starting point for further investigation of the AGV because it is usually implemented in the AGV – so it does not require additional hardware. Moreover, it can lead to better energy management and increase battery lifetime.

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Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks

arXiv

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arXiv 2024年

作者： Lupu, Daniela Necoara, Ion Department of Automatic Control and Systems Engineering University Politehnica Bucharest Bucharest060042 Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics The Romanian Academy Bucharest050711 Romania

Deep neural networks have revolutionized many fields, including image processing, inverse problems, text mining and more recently, give very promising results in systems and control. Neural networks with hidden layers have a strong potential as an approximation framework of predictive control laws as they usually yield better approximation quality and smaller memory requirements than existing explicit (multi-parametric) approaches. In this paper, we first show that neural networks with HardTanh activation functions can exactly represent predictive control laws of linear time-invariant systems. We derive theoretical bounds on the minimum number of hidden layers and neurons that a HardTanh neural network should have to exactly represent a given predictive control law. The choice of HardTanh deep neural networks is particularly suited for linear predictive control laws as they usually require less hidden layers and neurons than deep neural networks with ReLU units for representing exactly continuous piecewise affine (or equivalently min-max) maps. In the second part of the paper we bring the physics of the model and standard optimization techniques into the architecture design, in order to eliminate the disadvantages of the black-box HardTanh learning. More specifically, we design trainable unfolded HardTanh deep architectures for learning linear predictive control laws based on two standard iterative optimization algorithms, i.e., projected gradient descent and accelerated projected gradient descent. We also study the performance of the proposed HardTanh type deep neural networks on a linear model predictive control application. © 2024, CC BY.

关键词： Model predictive control

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Population-Dynamics-Assisted Coalitional Model Predictive control for Parabolic-Trough Solar Plants

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IFAC-PapersOnLine 2023年第2期56卷 7710-7715页

作者： Ana Sánchez-Amores Juan Martinez-Piazuelo José M. Maestre Carlos Ocampo-Martinez Eduardo F. Camacho Nicanor Quijano Systems and Automation Engineering Department University of Seville Spain Automatic Control Department Universitat Politècnica de Catalunya Spain Departamento de Ingeniería Eléctrica y Electrónica Universidad de los Andes Colombia

This paper proposes a coalitional model predictive control method for temperature regulation in parabolic-trough solar fields. The global optimization problem is divided into a set of local subproblems that will be solved in parallel by a set of coalitions. However, these local (smaller) problems remain coupled by a common global resource constraint. In this regard, we present a population-dynamics-assisted resource allocation approach to fully decouple the local optimization problems. By doing this, each coalition can address its corresponding optimization problem without relying on the solutions of the other coalitions. To illustrate the proposed methodology, we provide simulation results for a 100-loop parabolic-trough solar collector field.

关键词： Model predictive control coalitional control population dynamics distributed solar collector field

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Determination of Losses in Steel of an Induction Motor at Its Deep Saturation 4

Determination of Losses in Steel of an Induction Motor at It...

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4th IEEE International Conference on Modern Electrical and Energy System, MEES 2022

作者： Chenchevoi, Volodymyr Chencheva, Olha Serhiienko, Serhii Bezuhlyi, Maksim Kutsevol, Volodymyr Salenko, Oleksandr Kremenchuk Mykhailo Ostrohradskyi National University Systems of Automatic Control and Electric Drive Department Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Machine Tools and Machine Complexes Department Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Manufacturing Engineering Kremenchuk Ukraine

ISBN: (纸本)9798350346831

The paper shows that the existing methods for determining steel losses of an induction machine are suitable only for the initial rectilinear (unsaturated) section of the magnetization curve, which gives a significant error in the saturation mode, or contain a large number of unknown elements, which makes it cumbersome and difficult to use the results in practical purposes. The proposed method is a further development of the well-known approach to determining steel losses. This takes into account the change in the magnetization inductance. This allows it to be used in high saturation mode. The expressions for determining steel losses are presented as a function of magnetic flux, EMF and current, which makes them suitable for practical use. © 2022 IEEE.

关键词： Induction machine

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Passivity-Based Distributed Event-Triggered Flocking control of Port-Hamiltonian systems

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IEEE control systems Letters 2025年 9卷 342-347页

作者： Aranda-Escolástico, Ernesto Abdelrahim, Mahmoud Fernández-Amorós, David Guinaldo, María Colombo, Leonardo Department of Software and Systems Engineering Universidad Nacional de Educación a Distancia (UNED) Juan del Rosal 16 Madrid 28040 Spain Prince Sultan University Renewable Energy Laboratory College of Engineering Riyadh 11586 Saudi Arabia Computer Science and Automatic Control Department Universidad Nacional de Educación a Distancia (UNED) Juan del Rosal 16 Madrid 28040 Spain Centre for Automation and Robotics (CSIC-UPM) Ctra. M300 Campo Real Km 0200 Madrid Arganda del Rey 28500 Spain

This letter addresses the problem of flocking motion in the context of port-Hamiltonian systems. The port-Hamiltonian framework offers advantages in modeling networks, dissipation, and heterogeneous agents. In this regard, designing flocking controllers in port-Hamiltonian form significantly increases their practical applications. Additionally, event-triggered control has proven effective in reducing bandwidth consumption. However, challenges remain in combining flocking requirements with energy-dissipating terms. Therefore, we propose a novel event-triggered flocking controller suitable for port-Hamiltonian systems. The method is validated through numerical simulations of a group of hexarotors. © 2017 IEEE.

关键词： flocking passivity Port-Hamiltonian systems event-triggered control multi-agent systems

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Hybrid Deep Learning Model for Short-Term Wind Speed Forecasting Based on Time Series Decomposition and Gated Recurrent Unit

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Complex System Modeling and Simulation 2021年第4期1卷 308-321页

作者： Changtong Wang Zhaohua Liu Hualiang Wei Lei Chen Hongqiang Zhang School of Information and Electrical Engineering Hunan University of Science and TechnologyXiangtan 411201China Department of Automatic Control and Systems Engineering the University of SheffieldSheffieldS13JDUK.

Accurate wind speed prediction has been becoming an indispensable technology in system security,wind energy utilization,and power grid dispatching in recent ***,it is an arduous task to predict wind speed due to its variable and random *** the objective to enhance the performance of forecasting short-term wind speed,this work puts forward a hybrid deep learning model mixing time series decomposition algorithm and gated recurrent unit(GRU).The time series decomposition algorithm combines the following two parts:(1)the complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN),and(2)wavelet packet decomposition(WPD).Firstly,the normalized wind speed time series(WSTS)are handled by CEEMDAN to gain pure fixed-frequency components and a residual *** WPD algorithm conducts the second-order decomposition to the first component that contains complex and high frequency signal of raw ***,GRU networks are established for all the relevant components of the signals,and the predicted wind speeds are obtained by superimposing the prediction of each *** from two case studies,adopting wind data from laboratory and wind farm,respectively,suggest that the related trend of the WSTS can be separated effectively by the proposed time series decomposition algorithm,and the accuracy of short-time wind speed prediction can be heightened significantly mixing the time series decomposition algorithm and GRU networks.

关键词： deep learning complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) gated recurrent unit(GRU) short term wavelet packet decomposition wind speed prediction

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Pulsating Fluidic Sensor for Sensing of Location, Pressure and Contact Area

Pulsating Fluidic Sensor for Sensing of Location, Pressure a...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Joanna Jones Marco Pontin Dana D. Damian Department of Automatic Control and Systems Engineering Sheffield Biomedical Robotics Laboratory University of Sheffield United Kingdom Sheffield Robotics University of Sheffield UK Insigneo Institute for in Silico Medicine University of Sheffield UK

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Designing information-rich and space-efficient sensors is a key challenge for soft robotics, and crucial for the development of safe soft robots. Sensing and understanding the environmental interactions with a minimal footprint is especially important in the medical context, where portability and unhindered patient/user movement is a priority, to move towards personalized and decentralized healthcare solutions. In this work, a pulsating fluidic soft sensor (PFS) capable of determining location, pressure and contact area of press events is shown. The sensor relies on spatio-temporal resistance changes driven by a pulsating conductive fluid. The sensor demonstrates good repeatability and distinction of single and multiple press events, detecting single indents of sizes greater than 1 cm, forces larger than 2 N, and various locations across the sensor, as well as multiple indents spaced 2 cm apart. Furthermore, the sensor is demonstrated in two applications to detect foot placement and grip location. Overall, the sensor represents an improvement towards minimizing electronic hardware, and cost of the sensing solution, without sacrificing the richness of the sensing information in the field of soft fluidic sensors.

关键词： Presses Fluids Soft sensors Medical services Soft robotics Robot sensing systems Hardware

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