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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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Multi-talker Verbal Interaction for Humanoid Robots

Multi-talker Verbal Interaction for Humanoid Robots

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Bartlomiej Klin Ryszard Beniak Michal Podpora Arkadiusz Gardecki Joanna Rut Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Department of Computer Science Opole University of Technology Faculty of Production Engineering and Logistics Opole University of Technology

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

Working in multi-talker mode is viable under certain conditions, such as the fusion of audio and video stimuli along with smart adaptive beamforming of received audio signals. In this article, the authors verify part of the researched novel framework, which focuses on adapting to dynamic interlocutor’s location changes in the engagement zone of humanoid robots during the multi-talker conversation. After evaluating the framework, the authors confirm the necessity of a complementary and independent method of increasing the interlocutor’s signal isolation accuracy. It is necessary when video analysis performance plummets. The authors described the leading cause as insufficient performance during dynamic conversations. The video analysis cannot derive a new configuration when the interlocutor’s speech apparatus moves beyond the expected margin and the video frame rate drops.

关键词： Automation Accuracy Array signal processing Humanoid robots Oral communication Human factors

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KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task—new dataset for iris segmentation

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Iran Journal of Computer Science 2023年第4期6卷 307-319页

作者： Khiarak, Jalil Nourmohammadi Oskouei, Amin Golzari Nasab, Samaneh Salehi Jaryani, Farhang Moafinejad, Seyed Naeim Pourmohamad, Rana Amini, Yasin Noshad, Morteza Institute of Control and Computation Engineering Warsaw University of Technology Ul. Nowowiejska 15/19 Warsaw 00-665 Poland Department of Computer Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran School of Engineering Lorestan University Aleshtar Campus Aleshtar Iran Faculty of Engineering Arak University Arak Iran Department of Physics Shahid Beheshti University Tehran Iran School of Computing Informatics and Decision Systems Engineering Arizona State University AZ United States Faculty of Electrical and Computer Engineering University of Kharazmi Tehran Iran Stanford University Stanford United States

Iris segmentation and localization in unconstrained environments are challenging due to long distances, illumination variations, limited user cooperation, and moving subjects. Some existing methods in the literature have somehow mitigated some of the above-mentioned issues. In this paper, motivated by these weaknesses, we propose a framework that employs a deep neural network-based approach to iris segmentation and localization. The proposed framework is based on a U-Net architecture initialized with a pre-trained MobileNetV2 model. In addition, to better study the detectors in iris recognition scenarios, we have collected 1000 images. The provided dataset (KartalOl) is made publicly available for the research community. In the proposed framework, to have better generalization, we fine-tuned the MobileNetV2 model on the provided data for NIR-ISL 2021 from the CASIA-Iris-Asia, CASIA-Iris-M1, and CASIA-Iris-Africa and our dataset. Likewise, data augmentation techniques are applied on images. We chose the binarization threshold for the binary masks by iterating over the images in the provided dataset. The proposed framework is trained and tested in CASIA-Iris-Asia, CASIA-Iris-M1, and CASIA-Iris-Africa, along with the KartalOl dataset. The experimental results highlight that our method surpasses state-of-the-art methods on mobile-based benchmarks. The implementation source code of KartalOl is made publicly available at https://***/Jalilnkh/KartalOl-NIR-ISL2021031301. © The Author(s) 2023.

关键词： Iris segmentation Localization MobileNetV2 model Unconstrained environment

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An Enhanced Finite-Set Model Predictive control Based Super Twisting Sliding Mode Speed controller for Linear Metro Applications 24

An Enhanced Finite-Set Model Predictive Control Based Super ...

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24th International Middle East Power System Conference, MEPCON 2023

作者： Ali, Mosaad M. Elmorshedy, Mahmoud F. Gabr, Mohamed A. Ramadan, Haitham S. Lotfy, Mostafa Wageh Kafrelsheikh University Faculty of Engineering Department of Electrical Engineering Egypt Tanta University Faculty of Engineering Department of Electric Power and Machines Engineering Tanta31733 Egypt Prince Sultan University Renewable Energy Laboratory College of Engineering Riyadh11586 Saudi Arabia Zagazig University Faculty of Engineering Electrical Power and Machines Dept. Zagazig44519 Egypt Institut International sur le Stockage de l'Hydrogène Isthy Belfort Territory Meroux-Moval90400 France Beni-Suef University Faculty of Technology and Education Department of Process Control Technology Beni Suef Egypt

ISBN: (纸本)9798350358469

The tracking speed issue of linear induction machines (LIMs) is addressed in this study via a nonlinear speed controller with model predictive current control (MPCC). The super twisting sliding mode controller (STSMC) controls the LIM speed instead of the traditional PI controller to provide a quick dynamic response with a smaller steady-state inaccuracy. The primary objective of the super twisting sliding mode controller (STSMC) is to regulate the q-axis primary current within the finite-set MPCC (FS-MPCC) framework. To avoid the use of an axis transformation problem and speed up the calculation process, the dynamic model of the suggested STSMC-based FSMPCC is fulfilled in the α β frame rather than the dq frame. The suggested control technique is validated by simulation results based on the platform of two 3 kW arc induction motor drive systems. © 2023 IEEE.

关键词： Model predictive control

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Improving Robot Safety and Efficiency: Integrating Reachability-Based Trajectory Design with Nonlinear Model Predictive control

SSRN

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SSRN 2024年

作者： Shafikhah, Mahmood Razminia, Abolhassan Department of Electrical Engineering Faculty of Intelligent Systems Engineering and Data Science Persian Gulf University Bushehr Iran Process Control Laboratory Faculty of Natural Sciences and Engineering Åbo Akademi University Turku Finland

In today's high-tech world, robots are increasingly used in industry and human assistance, raising safety concerns. This paper proposes a Reachability-based Trajectory Design (RTD) method to ensure safe robot motion. By computing the robot's Forward Reachable Set (FRS), a safe trajectory is chosen for the robot to follow. This approach enhances robot safety and reliability, making them more applicable across industries. Offline RTD and FRS calculations combined with Nonlinear Model Predictive control (NMPC) further improve navigation, motion planning, and control precision. This unique combination significantly improves robot operations, ensuring safety and efficiency. © 2024, The Authors. All rights reserved.

关键词： Predictive control systems

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Communication Through Innovative Technologies to Increase Awareness of the Company’s Brand 4th

Communication Through Innovative Technologies to Increase Aw...

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4th International Conference on Sustainable Energy for Smart Cities, SESC 2022

作者： Behúnová, Annamária Knapčíková, Lucia Faculty of Mining Ecology Process Control and Geotechnologies Institute of Earth Resources Technical University of Košice Letná 9 Košice042 00 Slovakia Faculty of Manufacturing Technologies With a Seat in Prešov Department of Industrial Engineering and Informatics The Technical University of Košice Bayerova 1 Prešov080 01 Slovakia

ISBN: (纸本)9783031339783

A business that wants to succeed in today’s rapidly changing market must realize the importance of its customers and adapt its business activities to them. The customer must feel that he is an important part of the company and that his requirements, opinions and attitudes matter. Only in this way can the company gain its consumers’ favour, trust and loyalty. Innovative technologies represent the future within the company’s marketing strategy, in which entrepreneurs focus not only on the needs of the company but also on the demands of the consumer and try to interact with their customers. Through information technology, which the company implements in its company, it can get closer to its customers and thereby satisfy their subjective and objective needs. The main goal of the submitted paper is to research the possibility of developing a business entity through innovative technologies, to examine and define the relationships between the past and current state of the business and the slow development of a new marketing strategy related to the implementation of information technologies in the business environment. Deciding to introduce modern information technologies into the company’s strategy means improving communication with customers, adapting business activities and final services provided to consumer requirements and specifications. © 2023, ICST Institute for Computer Sciences, Social informatics and Telecommunications engineering.

关键词： Sales

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Design of Supervisory Model Predictive control for HVAC Systems and Two Zones with Consideration of Energy Efficiency and Thermal Comfort

Design of Supervisory Model Predictive Control for HVAC Syst...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Panithan Srisurapanon David Banjerdpongchai Department of Electrical Engineering Center of Excellence in Intelligent Control Automation for Process Systems Faculty of Engineering Chulalongkorn University Pathumwan Bangkok Thailand

This paper presents the design of supervisory model predictive control for HVAC systems and two zones. The supervisory control (SC) is designed to find the optimal reference temperature of each zone. The design criteria consist of the total operating cost (TOC) and the thermal comfort cost (TCC). Then, the model predictive control (MPC) is designed to track the optimal reference signals. When SC and MPC are designed for two zones simultaneously, they are referred to centralized SC and centralized MPC. On the other hand, when SC and MPC are designed for two zones separately, they referred to decentralized SC and decentralized MPC. We then compare the results between the decentralized control and the centralized control. The trade-off curve shows that the performance of centralized control is better than that of decentralized control. In particular, centralized MPC improves the performance in tracking reference signals. Furthermore, TOC of centralized control is lower than that of decentralized control. It can be concluded that the centralized control is appropriate for two zones in terms of the tracking of reference and the electrical charge.

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Enhancement and control of Reactive Power Sharing Utilizing Circulating Current in AC Microgrids 23

Enhancement and Control of Reactive Power Sharing Utilizing ...

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23rd International Middle East Power Systems Conference, MEPCON 2022

作者： Tazy, Ahmed Samy, Mohamed Mahmoud Ghalib, Mohamed Ali Albaha University Faculty of Engineering Electrical Engineering Department KSAt Saudi Arabia University of Beni-Suef Dept. of Electrical Engineering Beni-Suef Egypt College of Technology and Education Beni-Suef University Dept. of Process Control Beni-Suef Egypt

ISBN: (纸本)9781665463638

controlling frequency and voltage stability is the major objective of controlling an independent mode a difficult task since every distributed power supply Distributed energy resource (DERs). A small network can include various converters, connected in parallel to each other by lines with mismatched line resistance. The micro-grid includes both local and general loads. The conventional droop controller shows poor reactive power sharing when mismatched line impedance among DER modules is unable to ensure the stability of the microgrid, also, the reactive power sharing accuracy among inverters is not made accurate. In this study, an improved control strategy using a secondary central small network unit (SCMU), to increase the precision of power-sharing, also provides the most dynamic damping of the oscillator system. To improve the accuracy of power sharing and to improve the voltage on the bus at load, this controller is combined with sliding mode control. Two inverters connected in parallel were used to perform the simulation and the control model. The results showed the effectiveness of the proposed technique on the conventional control. © 2022 IEEE.

关键词： controllers

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Classification of the Heartbeats in Electrocardiograms with K-Nearest Neighbors Algorithm, Random Forests, and Support Vector Machines - A Pilot Study 21st

Classification of the Heartbeats in Electrocardiograms with ...

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21st Scientific Conference on Medical and Sport Technologies, 2024

作者： Vural, Muzaffer Samed Heryan, Katarzyna Sieciński, Szymon Bilko, Pawel Grzegorzek, Marcin Faculty of Automatic Control Electrical Engineering and Biomedical Engineering Department of Measurement and Electronics AGH University of Science and Technology Aleja Adama Mickiewicza 30 Kraków30-059 Poland Institute of Medical Informatics University of Lübeck Ratzeburger Allee 160 Lübeck23562 Germany Faculty of Biomedical Engineering Department of Medical Informatics and Artificial Intelligence Silesian University of Technology Franklina Delano Roosevelta 40 Zabrze41-800 Poland Department of Clinical Engineering Academy of Silesia Rolna 43 Katowice40-555 Poland German Research Center for Artificial Intelligence Ratzeburger Allee 160 Lübeck23562 Germany

ISBN: (纸本)9783031821424

Electrocardiography (ECG) is vital for diagnosing and monitoring cardiovascular diseases. Automatic interpretation of ECG signals, particularly classifying heartbeats, is essential in diagnosing these conditions. We compared the performance of three classifiers (K-Nearest Neighbors (KNN), Random Forests (RF), and Support Vector Machine (SVM)) using heartbeat and ECG signal features. We trained the classifiers on 173 heartbeats from 11 recordings in the MIT-BIH Arrhythmia (MITDB) Database. To address imbalance, we used SMOTE (Synthetic Minority Over-sampling Technique) to increase the number of abnormal heartbeats. We divided the data into 70% for training set and 30% for testing set, evaluating performance through 10-fold cross-validation. Results demonstrated state-of-the-art performance for KNN, RF, and SVM. KNN achieved an overall accuracy, positive predictive value, and sensitivity of 0.977, 0.978, and 0.978, respectively. RF achieved an overall accuracy, precision, and sensitivity of 0.971, 0.972, and 0.971, respectively. SVM achieved a recall of 0.988, 0.989, and 0.988. SVM exhibited the highest overall performance in heartbeat classification (0.99), followed by KNN (0.98) and RF (0.97). © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Support vector machines

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Reducing the energy consumption required for the disassembly process implemented on an assembly and disassembly line 24

Reducing the energy consumption required for the disassembly...

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

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

ISBN: (纸本)9798350313390

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. © 2023 IEEE.

关键词： Assembly

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