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20th IEEE International Conference on Modern Electrical and Energy Systems, MEES 2021

作者： Busher, Victor Shestaka, Anatoliy Chornyi, Oleksii Glazeva, Oksana Melnikova, Lubov Tytiuk, Valerii National University 'Odessa Maritime Academy' Dept. of Electrical Engineering and Electronics Odessa Ukraine Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Institute of Electromechanics Kremenchuk Ukraine Odessa State Polytechnic University Dept. Electromechanical Engineering Odessa Ukraine Kryvyi Rih National University Kryvyi Rih Ukraine

ISBN: (纸本)9781665423663

The paper proposes a control method for a high-voltage cascade frequency converter with H-bridges, based on Space Vector Pulse Width Modulation, regardless of the number of normal and damaged H-cells in phases. Analytical dependencies are given that explain the principle of balancing asymmetric base vectors, and tabular data are provided for the implementation of this method in most possible emergency modes in 4-6-level frequency converters. It was found that the formation of control laws for power switches only taking into account the change in length and phase shifts between the base vectors in emergency modes is not enough to exclude shock electromagnetic and electromechanical processes in an induction motor. Such shocks occur due to the appearance of an additional shift of the phase-to-phase voltages due to the asymmetry of the phase voltages on the half-period of the generated signal. Based on the expansion in a Fourier series, the necessary correcting phase shifts are calculated for all considered emergency modes. Modelling of electromagnetic and electromechanical processes in an electric drive 3.3 MW, 6.6 kV with a 6-level frequency converter has shown the effectiveness of the developed method - during transitions from a normal to an emergency mode, electromagnetic processes caused by phase shifts are excluded. At the same time, SVPWM in all modes increases the energy efficiency of power supplies by 15.6%, which makes it possible to increase the phase-to-phase voltage by 10... 26% in emergency modes in comparison with sinusoidal PWM. The proposed analytical dependencies and tabular data can be used in the synthesis of control systems with both scalar and vector control. © 2021 IEEE.

关键词： Frequency converters

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Application of a systematic approach to the analysis of requirements and testing of NPP automated process control systems in the field of information security using specialized software

Application of a systematic approach to the analysis of requ...

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2021 International Conference on Electrotechnical Complexes and Systems, ICOECS 2021

作者： Kemkin, Vladislav Doroshenko, Boris Sakharov, Konstantin Salov, Igor Salova, Julia Chernyaev, Alexey National Research University 'Moscow Power Engineering Institute' Dept. of Automated Control Systems for Thermal Processes Moscow Russia Joint-stock Company 'Rasu' Dept. of Design of I&C Computer Security Systems Moscow Russia National Research University 'Moscow Power Engineering Institute' Joint-stock Company 'Rasu' Dept. of Automated Control Systems for Thermal Processes Moscow Russia

ISBN: (纸本)9781665407274

This article reports examines the prerequisites for development and the expected results of the application of a new systematic approach to testing Industrial control System of Nuclear Power Plants (NPP ICS) in the field of information security using specialized software. The regulatory and technical documentation containing the requirements for testing the NPP ICS in the field of information security is considered, the requirements are analyzed and criteria for systematization of these requirements are formed. The result of the research is the creation of a systematic list of requirements for testing of NPP ICS subsystems in terms of information security, as a basis for the software of formation of programs, methods of checking and testing of NPP ICS subsystems in terms of information security. © 2021 IEEE.

关键词： Application programs

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LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle

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IFAC-PapersOnLine 2022年第35期55卷 37-42页

作者： Matthis H. de Lange Chris Verhoek Valentin Preda Roland Tóth Control Systems Group Dept. of Electrical Engineering Eindhoven University of Technology Eindhoven 5600 MB The Netherlands ESTEC European Space Agency Noordwijk 2200 AG The Netherlands Systems and Control Lab Institute for Computer Science and Control Budapest 1111 Hungary

Obtaining models that can be used for flight control is of outmost importance to ensure reliable guidance and navigation of spacecrafts, like a Generic Parafoil Return Vehicle (GPRV). In this paper, we convert an existing, high-fidelity nonlinear model of the atmospheric flight dynamics of a GPRV to a Linear Parameter-Varying (LPV) form that enables high-performance navigation control design. Application of existing systematic conversion methods for such complicated nonlinear models often result in complex LPV representations, which are not suitable for controller synthesis. We apply and compare state-of-the-art conversion techniques on the GPRV model, including learning based approaches, to optimize the complexity and conservatism of the resulting LPV embedding. The results show that we can obtain an LPV embedding that approximates the complex nonlinear dynamics sufficiently well, where the balance between complexity, conservatism and model performance is efficiently chosen.

关键词： linear parameter-varying systems scheduling reduction spacecraft modeling aerodynamics principle component analysis deep neural networks

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On the Use of MPC Techniques to Decide Intervention Policies against COVID-19

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IFAC-PapersOnLine 2021年第14期54卷 476-481页

作者： Zonglin Liu Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany.

This paper aims at demonstrating how and that model predictive control (MPC) strategies can be used to determine optimal intervention policies against the COVID-19 pandemic. Especially for the time after a first wave of infection and before a vaccine can be safely distributed to a sufficient extent, the intervention experience from the first outbreak can be utilized to guide the policy decision in this period. The MPC problem in this paper takes the pandemic in different regions of a country and its neighboring countries into account, while policies such as wearing masks or social distancing are selected as inputs to be optimized. This optimized policy balances the risk of a second outbreak and socio-economic costs, while considering that the measure should not be too severe to be rejected by the population. Effectiveness of this policy compared to standard intervention policies is compared through numerical simulations.

关键词： Biomedical Systems Networked Systems Nonlinear Model Predictive control

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Power Injection Measurements are more Vulnerable to Data Integrity Attacks than Power Flow Measurements

arXiv

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arXiv 2022年

作者： Ye, Xiuzhen Esnaola, Iñaki Perlaza, Samir M. Harrison, Robert F. Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Dept. of Electrical Engineering Princeton University PrincetonNJ08544 United States INRIA Sophia Antipolis06902 France

A novel metric that describes the vulnerability of the measurements in power system to data integrity attacks is proposed. The new metric, coined vulnerability index (VuIx), leverages information theoretic measures to assess the attack effect on the fundamental limits of the disruption and detection tradeoff. The result of computing the VuIx of the measurements in the system yields an ordering of the measurements vulnerability based on the level of exposure to data integrity attacks. This new framework is used to assess the measurements vulnerability of IEEE test systems and it is observed that power injection measurements are overwhelmingly more vulnerable to data integrity attacks than power flow measurements. A detailed numerical evaluation of the VuIx values for IEEE test systems is provided. © 2022, CC BY-NC-SA.

关键词： Electric load flow

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An information theoretic vulnerability metric for data integrity attacks on smart grids

arXiv

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arXiv 2022年

A novel metric that describes the vulnerability of the measurements in power systems to data integrity attacks is proposed. The new metric, coined vulnerability index (VuIx), leverages information theoretic measures to assess the attack effect on the fundamental limits of the disruption and detection tradeoff. The result of computing the VuIx of the measurements in the system yields an ordering of their vulnerability based on the level of exposure to data integrity attacks. This new framework is used to assess the measurement vulnerability of IEEE 9-bus and 30-bus test systems and it is observed that power injection measurements are overwhelmingly more vulnerable to data integrity attacks than power flow measurements. A detailed numerical evaluation of the VuIx values for IEEE test systems is provided. © 2022, CC BY.

关键词： Smart power grids

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Multi-robot Motion Planning under MITL Specifications based on Time Petri Nets

Multi-robot Motion Planning under MITL Specifications based ...

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European control Conference (ECC)

作者： Sofia Hustiu Dimos V. Dimarogonas Cristian Mahulea Marius Kloetzer Dept. of Automatic Control and Applied Informatics Technical University ”Gheorghe Asachi” of Iasi Romania Division of Decision and Control System KTH Royal Institute of Technology Stockholm Sweden Aragón Institute of Engineering Research (I3A) University of Zaragoza Maria de Luna 1 Zaragoza Spain

This paper proposes a high-level path planning strategy under Time Petri net (TPN) formalism for a multiagent system, which is subject to Metric Interval Temporal Logic (MITL) specifications. The work aims to design a scalable model with respect to the number of agents, as the MITL formula requires multiple agents to ensure similar tasks. The obtained model is denoted Composed Time Petri net and it couples two TPN representations assigned to the motion of the agents, respectively to the MITL specification. The planning approach is based on model-checking methods and the results are evaluated on a case study applied in robotics industry.

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Multi-label transfer learning for identifying lung diseases using chest X-rays 2

Multi-label transfer learning for identifying lung diseases ...

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2nd IEEE International Conference on Electronic engineering, ICEEM 2021

作者： El-Fiky, Azza Shouman, Marwa Ahmed Hamada, Salwa El-Sayed, Ayman Karar, Mohamed Esmail Electronics Research Institute Department of Informatics Cairo Egypt Menoufia University Faculty of Electronic Engineering Department of Computer Science and Engineering Minuf Egypt Menoufia University Faculty of Electronic Engineering Dept. Industrial Electronics and Control Engineering Minuf Egypt

ISBN: (纸本)9781665418423

Chest radiography presents one of the main medical imaging modalities for diagnosing lung diseases. To assist radiologists during interventional procedures, this paper aims at proposing a transfer learning-based classifier to automatically identify 14 different thoracic diseases in Chest X-ray (CXR) images. The proposed method is relied on deep residual neural networks with 50 layers (ResNet-50) to accomplish the diagnostic task of many chest diseases. In this study, a public dataset of 112, 120 frontal radiograph images for Chest X-ray has been used for validating the proposed deep learning classifier. It achieved the best performance of multi-label classification of normal and 14 different lung diseases with an average area under curve (AUC) of 0.911 and F1-score of 0.66. This study demonstrated that the proposed ResNet-50 classifier as a transfer learning model outperforms other relevant methods in the previous studies for automatic multi-label classification of chest X-rays. © 2021 IEEE.

关键词： computer aided diagnosis

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Differential Co-expression Network Analysis to Investigate Sexual Dimorphism in Colon Cancer

Differential Co-expression Network Analysis to Investigate S...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Caterina Alfano Lorenzo Farina Manuela Petti PhD program in Network Oncology and Precision Medicine Sapienza University of Rome Rome Italy Dept. of Computer Control and Management Engineering PhD program in Network Oncology and Precision Medicine Sapienza University of Rome Rome Italy Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

Colorectal cancer is the third most diagnosed cancer in the world, but it has a higher mortality rate in men compared to women. However, we are not close to understanding how and why sex influences the outcome of the disease. This study focuses on mRNA expression profiles of colon cancer patients to look for molecular differences in the development of colon cancer between men and women. We used paired expression data (i.e., data collected in pairs of normal and cancer cells, by taking samples from the same individual), we identified differentially expressed genes (cancer vs normal) and computed co-expression and differential co-expression gene networks (men vs women). Doing so, we inferred the main changes and alterations happening in cancer tissues, and specifically how these changes were different among men and women. We found that the co-expression networks of women and men affected by colon cancer are quite different and we reported the genes that show the most differences in this comparison, checking if they could also be associated to sexual dimorphism or sexual hormones. Among these genes we found a interesting presence of genes associated to the Wnt signaling pathway which has been found to be regulated by estrogen and whose activation is strongly linked with colon cancer.

关键词： Network analyzers Biochemistry Colon Bioinformatics Cancer

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A moment matching-based loop shaping design with closed-loop pole placement

A moment matching-based loop shaping design with closed-loop...

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European control Conference (ECC)

作者： T. C. Ionescu O. V. Iftime R. Ştefan Dept. of Automatic Control & Systems Eng Politehnica Univ. of Bucharest Bucharest Romania “G. Mihoc-C. Iacob” Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest Romania Department of Economics Econometrics and Finance Faculty of Economics and Business University of Groningen Nettelbosje 2 Groningen The Netherlands Department of Automatic Control and Systems Engineering University Politehnica Bucharest Bucharest Romania

In this paper, moment matching-based loop shaping design for finite-dimensional linear systems is considered. First, the time-domain moment matching model reduction problem with complex-conjugated pole-zero placement is revisited. We explicitly calculate the free parameters such that the reduced order model, achieving moment-matching at complex-conjugated interpolation points, has pairs of complex-conjugated poles and zeros placed in desired locations. Then, we recast the problem of closed-loop pole placement in terms of moment-matching, with the moments equal to −1 and 0, respectively. Consequently, the free parameters of a model achieving both moment matching at complex-conjugated points and closed-loop pole placement at prescribed locations are determined. Furthermore, we combine the classical loop shaping method with closed-loop pole placement via moment matching to design a robust controller for stable, minimum-phase, proper systems. We illustrate the proposed moment matching-based loop shaping approach on a benchmark example.

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