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IEEE NW Russia Young Researchers in Electrical and Electronic engineering Conference (EIConRusNW)

作者： Mohammed Saleh Ali Muthanna Abdulfattah Mohammed Obadi Musaeed Ammar Muthanna Maria Filimonova Yaqoob Ahmed Hazzaa Esmail Department of Automation and Control Processes Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia Faculty of Infocommunication Networks and Systems Saint -Petersburg State University of Telecommunications Saint Petersburg Russia Department of Information and Communication Engineering Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (数字)9781728157610

ISBN: (纸本)9781728157627

The growing interest in video-based applications has resulted in a rapid increase in wireless data traffic and meeting the stringent quality-of-experience (QoE) demands for such type of traffic poses a great challenge given the scarce spectrum. Millimeter waves suffers from the huge losses during the propagation in comparison with other communications. However, with smaller cell sizes, spectral efficiency increases, atmospheric absorption and rain do not yield additional losses on the track for cells of 200 m size. Therefore, mmWave communication is mainly used for the internal environment, as well as access to small cells and feedback of data with cell sizes of 200 m. To this end, this paper presents models for transmission of video traffic in 5G networks based on millimeter waves in conjunction with cloud units on RAN boundary to offload the underlaying network. The system achieves higher efficiency in terms of unloading, overloading, coverage and delay. The system is modeled in terms of the probability of blocking for three scenarios i.e. 1) Using mmWave radio interface 2) Using D2D technology 3) Without using D2D technology; each of them is a separate radio interface. The simulation results show that the worst-case scenario is to use a network without D2D and cloud layers.

关键词： Device-to-device communication Millimeter wave communication 5G mobile communication Millimeter wave technology Relays Task analysis Cloud computing

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Data-Driven Modeling of a CO2 Refrigeration System

Data-Driven Modeling of a CO2 Refrigeration System

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American control Conference (ACC)

作者： Glenn Andreasen Jakob Stoustrup Roozbeh Izadi-Zamanabadi Ángel Á. Pardiñas Armin Hafner Faculty of Electrical Engineering Automation and Control Aalborg University Aalborg Denmark Danfoss A/S Denmark Department of Energy and Process Engineering NTNU Trondheim Norway

This paper describes a data-driven method for system identification of a CO 2 refrigeration system. Traditionally, the interaction between the measured variables is not utilized as they are highly dependent on the refrigeration system. In this work a data-driven method, namely subspace identification, is investigated for deriving a control-oriented model such that the dynamic interaction in the refrigeration systems can be utilized for e.g. fault detection and diagnosis. The subspace identification is applied on laboratory data obtained from a test setup located at NTNU in Trondheim, Norway. The obtained results offer promising perspectives for performance improvement in fault detection and diagnosis methods as well as control strategies.

关键词： Compressors Valves Temperature measurement Heating systems Receivers Coolants

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Data Security in Smart Grid

Data Security in Smart Grid

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International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Marius-Alexandru Dobrea Mihaela Vasluianu Giorgian Neculoiu Stefan Bichiu Dept. of Automatic Control and Industrial Informatics University Politehnica of Bucharest Bucharest Romania Collective of Automation and Applied Informatics Faculty of Hidrotehnics Technical University of Civil Engineering of Bucharest Bucharest Romania Dept. of Energy Generation and Use University Politehnica of Bucharest Bucharest Romania

ISBN: (数字)9781728168432

ISBN: (纸本)9781728168449

Looking at the Smart Grid as a Cyber - Physical system of great complexity, the paper synthesizes the main IT security issues that may arise. Security issues are seen from a hybrid point of view, combining theory of information with system theory. Smart Grid has changed dramatically over the past years. With modern technologies, such as Big Data or Internet of Things (IoT), the Smart Grid is evolving into a more interconnected and dynamic power network model.

关键词： Smart grids Security Smart meters control systems Intrusion detection Real-time systems Monitoring

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DeepSeek or ChatGPT: Can brain-computer interfaces/brain-inspired computing achieve leapfrog development with large AI models?

Brain-X

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Brain-X 2025年第1期3卷

作者： Bai, Long Chen, Shugeng Wang, Peng Chen, He Yan, Jiaqing Zhu, Xiaojian Song, Enming Tian, Bobo Su, Jiacan Li, Xiaoli Organoid Research Center Institute of Translational Medicine Shanghai University Shanghai China Department of Orthopedics Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China National Center for Translational Medicine (Shanghai) SHU Branch Shanghai University Shanghai China Wenzhou Institute of Shanghai University Zhejiang Wenzhou China Department of Rehabilitation Medicine Huashan Hospital Fudan University Shanghai China Department of Language Literature and Communication Faculty of Humanities Vrije Universiteit Amsterdam Amsterdam Netherlands School of Automation Science and Engineering South China University of Technology Guangdong Guangzhou China Pazhou Laboratory Guangdong Guangzhou China School of Electrical and Control Engineering North China University of Technology Beijing China CAS Key Laboratory of Magnetic Materials and Devices and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Zhejiang Ningbo China Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Fudan University Shanghai China Key Laboratory of Polar Materials and Devices Department of Electronics Ministry of Education East China Normal University Shanghai China

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Finite-size scaling of geometric renormalization flows in complex networks

arXiv

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arXiv 2020年

作者： Chen, Dan Su, Housheng Wang, Xiaofan Pan, Gui-Jun Chen, Guanrong School of Artificial Intelligence and Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan430074 China Department of Automation Shanghai University Shanghai200072 China Faculty of Physics and Electronic Science Hubei University Wuhan430062 China Department of Electrical Engineering City University of Hong Kong Hong Kong Hong Kong

Recently, the concept of geometric renormalization group provides a good approach for studying the structural symmetry and functional invariance of complex networks. Along this line, we systematically investigate the finite-size scaling of structural and dynamical observables in geometric renormalization flows of synthetic and real evolutionary networks. Our results show that these observables can be well characterized by a certain scaling function. Specifically, we show that the critical exponent implied by the scaling function is independent of these observables but only depends on the small-world properties of the network, namely, all networks located in the small-world phase have a uniform scaling exponent, while those located in the non-small-world phase and in their critical regions have another uniform scaling. More importantly, we perform extensive experiments on real evolutionary networks with small-world characteristics, and our results show that these observables also have uniform scaling in their geometric renormalization flows. Therefore, in a sense this exponent can be used as an effective measure for classifying universal small-world and non-small-world network models. © 2020, CC BY-SA.

关键词： Geometry

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Reduced order modeling of diffusively coupled network systems: An optimal edge weighting approach

arXiv

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arXiv 2020年

作者： Cheng, Xiaodong Yu, Lanlin Ren, Dingchao Scherpen, Jacquelien M.A. Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Institute of Advanced Technology Westlake Institute for Advanced Study Westlake University Hangzhou310024 China Department of Automation University of Science and Technology of China Hefei230026 China Jan C. Willems Center for Systems and Control Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands

This paper studies reduced-order modeling of dynamic networks with strongly connected topology. Given a graph clustering of an original complex network, we construct a quotient graph with less number of vertices, where the edge weights are parameters to be determined. The model of the reduced network is thereby obtained with parameterized system matrices, and then an edge weighting procedure is devised, aiming to select an optimal set of edge weights that minimizes the approximation error between the original and the reduced-order network models in terms of H2-norm. The effectiveness of the proposed method is illustrated by a numerical example. Copyright © 2020, The Authors. All rights reserved.

关键词： Complex networks

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Comparison of the Effectiveness of Various Structures of Regulators for controlling an Object of the Sixth Order

Comparison of the Effectiveness of Various Structures of Reg...

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2019 International Multi-Conference on engineering, Computer and Information Sciences, SIBIRCON 2019

作者： Zhmud, Vadim Dimitrov, Lubomir Nosek, Jaroslav Roth, Hubert Novosibirsk State Technical University Dept. of Automation Novosibirsk Russia Technical University of Sofia Sofia Bulgaria Technical University of Liberec Faculty of Mechatronics Computer Science and Interdisciplinary Research Liberec Czech Republic University of Siegen Department of Automatic Control Engineering Siegen Germany Germany

ISBN: (纸本)9781728144016

Object control requires the calculation of a regulator. One of the most effective methods for calculating the regulator is the method of numerical optimization of the regulator. This paper discusses the solution of the problem of controlling a linear object of the sixth order, the parameters of which are such that this high order significantly and negatively affects the possibilities of successfully managing this object. Using the traditional approach to the design problem of the controller (regulator) allows us to formally solve the problem;however, the result of this solution is not satisfactory. The use of additional derivation does not give any noticeable improvement. A solution to this problem is proposed by using pseudo-local feedback, moreover, this connection is supposedly most effective if it covers one of two identical links in the object model. This allows for a smoother attenuation of the frequency response of the object in the region where the action of these two links begins to affect. For pseudo-local communication, an additional PID controller is used, the coefficients of which are also determined by the method of numerical optimization. The optimization result allows us to conclude that the presence of an integral element in this controller is optional. The calculation result of such a composite controller meets the most stringent requirements for the quality of control, since in such a system the speed is increased at least twice, the oscillations, which were about 10% in amplitude, are completely eliminated, the robustness of the system is ensured, which is verified by changing all the controller coefficients by 5% up and down, and also by changing the time constant of the element of the pseudolocal loop by 10% up and down, changes in the transition process of the system in this case remain are acceptable. © 2019 IEEE.

关键词： Feedback

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Saturated Continuous Twisting Algorithm 15

Saturated Continuous Twisting Algorithm

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15th International Workshop on Variable Structure Systems, VSS 2018

作者： Golkani, M.A. Fridman, L.M. Koch, S. Reichhartinger, M. Horn, M. Faculty of Electrical and Information Engineering Graz University of Technology Institute of Automation and Control Graz Austria Department of Control Engineering and Robotics Division of Electrical Engineering Engineering Faculty National Autonomous University of Mexico Mexico D.F. Mexico Institute of Automation and Control Graz University of Technology Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Graz Austria

ISBN: (纸本)9781538664391

In this paper, a second-order system affected by perturbations is considered. A feedback control law adopting the continuous twisting algorithm is designed such that a saturated and continuous control signal is introduced to the system. In the case that a state variable is not measurable, estimate information obtained through a super-twisting observer is incorporated into the design. For the closed-loops (with and without observer), global finite-time stability properties are established. The feasibility and effectiveness of the strategy is shown employing numerical simulations. © 2018 IEEE.

关键词： Stability

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Design of Face Recognition Access Entrance Guard System with Mask Based on Embedded Development

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Journal of Physics: Conference Series 2021年第1期1883卷

作者： Lin Ruiqin Tan Wenan Chen Zhenyu Qinqin Faculty of Environmental and Materials Engineering Shanghai Polytechnic University Shanghai 201209 China Computer Engineering Shanghai Polytechnic University Shanghai 201209 China Department of Measurement and Control and Automation Shanghai Polytechnic University Shanghai 201209 China

This paper investigates all kinds of access entrance guard control systems at home and abroad and analyzes their advantages and disadvantages. COVID-19 epidemic has a serious impact on life, travel must wear a mask, so that the access entrance guard control system can not carry out face recognition under the mask. In view of this kind of situation, an embedded face recognition access entrance guard control system with mask based on EAIDK-310 development board is designed. The system can complete face recognition and body temperature measurement without contact, and drive the motor to open the gate. After testing, the system is suitable for deployment in companies, communities, campuses and other small application scenarios. It is convenient to travel and can reduce the impact of the epidemic.

关键词：

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Analysing EEG signals for mathematical computations

Analysing EEG signals for mathematical computations

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23rd International Conference on Circuits, Systems, Communications and Computers, CSCC 2019

作者： Strmiska, Martin Koudelkova, Zuzana Tomas Bata University in Zlin Faculty of Applied Informatics Department of Automation and Control Engineering Nad Stranemi 4511 Zlin760 05 Czech Republic Tomas Bata University in Zlin Faculty of Applied Informatics Department of Informatics and Artificial Intelligence Nad Stranemi 4511 Zlin760 05 Czech Republic

Brain computer interface (BCI) is a device that allows us to scan brainwaves. Achieved signals can be processed using a computer and the analyzed brain activity can be than monitored. In this paper, the use of the non-invasive brain scanning method applied on person at solving a system of equations is described. This solving the system of equations was obtained by two mathematical methods. The measurement was performed for solving equations by Gaussian elimination and by substitution methods separately. The results of the measurements were visualized by graphing the brain activity. The aim of the work is to determine the more practical method of those two. © 2019 The Authors, published by EDP Sciences.

关键词： Brain computer interface

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