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IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Peerawut Yutthagowith Phethai Nimsanong Yoshihiro Baba School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Power System Control Metropolitan Electricity Authority Power System Analysis Section Bangkok Thailand Graduate School of Science and Engineering Doshisha University Kyoto Japan

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Assessing insulation performance is vital for sustainable energy systems, which aim to minimize visual impact while ensuring reliability and resilience against weather-related disruptions. With increasing reliance on renewable energy sources, the importance of insulation performance becomes even more pronounced. Regular evaluations of insulation performance are critical for maintaining the safety, reliability, and resilience of electricity networks. By promptly identifying risks such as insulation degradation, utilities can improve maintenance practices, prioritize repairs, and enhance the integration of renewables, thereby boosting overall infrastructure performance. This paper introduces a straightforward and precise technique for determining the equivalent circuit parameters of insulation systems in high-voltage equipment. The proposed method facilitates the accurate determination of the dielectric loss factor from the equivalent circuit. To validate this approach, test cases were utilized to demonstrate its effectiveness. The results obtained through this method were then compared with those obtained using commercial software. The comparison reveals that the proposed approach results in a lower number of depolarization current branches compared to the commercial software. Also, it provides almost the same relative root mean square error and the lower root mean square relative error of the depolarization current. These findings underscore the appeal and effectiveness of the proposed method for determining the equivalent circuit of the dielectric model.

关键词： Insulation Renewable energy sources Current measurement Fitting Dielectric losses Software Integrated circuit modeling Root mean square Equivalent circuits Resilience

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Conformal Prediction for Distribution-free Optimal control of Linear Stochastic systems

arXiv

引用

arXiv 2024年

作者： Vlahakis, Eleftherios E. Lindemann, Lars Sopasakis, Pantelis Dimarogonas, Dimos V. The Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden The Thomas Lord Department of Computer Science The Ming Hsieh Department of Electrical and Computer Engineering Viterbi School of Engineering University of Southern California Los AngelesCA90089 United States The School of Electronics Electrical Engineering and Computer Science Queen's University Northern Ireland Belfast United Kingdom

We address an optimal control problem for linear stochastic systems with unknown noise distributions and joint chance constraints using conformal prediction. Our approach involves designing a feedback controller to maintain an error system within a prediction region (PR). We define PRs as sublevel sets of a nonconformity score over error trajectories, enabling the handling of joint chance constraints. We propose two methods to design feedback control and PRs: one through direct optimization over error trajectory samples, and the other indirectly using the S-procedure with a disturbance ellipsoid obtained from data. By tightening constraints with PRs, we solve a relaxed problem to synthesize a feedback policy. Our method ensures reliable probabilistic guarantees based on marginal coverage, independent of data size. © 2024, CC BY.

关键词： Optimal control systems

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Resilient Angle Stabilization in Converter-Interfaced Microgrids

Resilient Angle Stabilization in Converter-Interfaced Microg...

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European control Conference (ECC)

作者： Mahmood Jamali Mahdieh S. Sadabadi Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom

This paper focuses on the problem of resilient phase angle stabilization and frequency synchronization in converter-based microgrids, utilizing phasor measurement units (PMUs), in the presence of false data injection (FDI) cyberattacks. The uniformly bounded cyber-attack signals are inserted to desynchronize converters and violate frequency constraints by manipulating control input channels. To tackle this issue, a resilient and robust cooperative angular control scheme is proposed by modifying the conventional angular control method and incorporating some auxiliary states interconnecting with physical states. By presenting the converter dynamics along with the proposed controller as a port-Hamiltonian (pH) system, the design considerations of the interconnection matrices are outlined. Theoretical analysis using input-output passivity and $H_{\infty}$ norm performance index are carried out to guarantee asymptotic stability and resilient frequency synchronization against FDI attacks. The performance and effectiveness of the proposed control scheme are evaluated through numerical simulations

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Topological Clustering for Spatial Perception Using Fuzzy Reliability-Based Growing Region Method

Topological Clustering for Spatial Perception Using Fuzzy Re...

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International Joint Conference on Neural Networks (IJCNN)

作者： Masaya Shoji Taichi Watanabe Keisuke Nagashima Ryohei Michikawa Naoyuki Kubota ROBOTIS Co. Ltd. Advanced Institute of Industrial Technology Tokyo Metropolitan University Tokyo Japan ROBOTIS Co. Ltd. Graduate School of Science and Technology Meiji University Kanagawa Japan Department of Mechanical and Intelligent Systems Engineering ROBOTIS Co. Ltd. The University of Electro-Communications Tokyo Japan ROBOTIS Co. Ltd. Graduate School of Engineering Kyoto University Kyoto Japan Department of Mechanical Systems Engineering Tokyo Metropolitan University Tokyo Japan

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

To support humans in various environments such as homes, nursing homes, and hospitals, robots need a spatial perception system that enables flexible and rapid recognition of unlearned objects. However, there is a problem that methods that require prior learning cannot fully deal with unlearned objects and that the input of RGB images is easily affected by the lighting conditions of the environment. In this study, a topological map is generated in real-time using Growing Neural Gas, a type of unsupervised self-growing neural network, with 3D point cloud data as the only input. However, in unknown environments, there is a problem that the size of clusters becomes unstable and cannot be detected stably if the region growing method, which checks only labels assigned based on normal vectors, is used to detect clusters such as unknown objects in the topological map. Therefore, we propose a methodology to stably detect clusters in a topological map by introducing the concept of age and a reliability based on fuzzy sets for each node and rejecting unstable nodes with low reliability even if the nodes to which they are connected have the same label. Also, the effectiveness of the proposed methodology is demonstrated by experiments through 3D dynamics simulations.

关键词： Point cloud compression Fuzzy sets Solid modeling Three-dimensional displays Neural networks Vectors Real-time systems

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Non-Negative Tensor Factorization of Infant Spontaneous Movements: A Pilot Study for ASD Risk Evaluation of Newborn Infants

Non-Negative Tensor Factorization of Infant Spontaneous Move...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Yonei, Rikuya Furui, Akira Doi, Hirokazu Shimatani, Koji Hayashi, Hideaki Yamamoto, Midori Sakurai, Kenichi Mori, Chisato Tsuji, Toshio Hiroshima University Graduate School of Advanced Science and Engineering 1-4-1 Kagamiyama Hiroshima Higashi-Hiroshima739-8527 Japan Nagaoka University of Technology Department of Information and Management Systems Engineering 1603-1 Kamitomioka Niigata Nagaoka940-2188 Japan Prefectural University of Hiroshima Faculty of Health and Welfare 1-1 Gakuen-machi Hiroshima Mihara723-0053 Japan Osaka University Institute for Datability Science 2-8 Yamadaoka Osaka Suita565-0871 Japan Chiba University Center for Preventive Medical Sciences Department of Nutrition and Metabolic Medicine 1-33 Yayoi-cho Inage-ku Chiba263-8522 Japan Chiba University Center for Preventive Medical Sciences Department of Sustainable Health Science 1-33 Yayoi-cho Inage-ku Chiba263-8522 Japan Chiba University Graduate School of Medicine Department of Bioenvironmental Medicine 1-8-1 Inohana Chuo-ku Chiba260-8670 Japan

ISBN: (纸本)9798331531614

Early detection of infants with autism spectrum disorder (ASD) can lead to effective developmental support. In clinical practice, early screening of 18-month-old infants is implemented using a parent-completed questionnaire. However, research has suggested that signs of ASD may also appear in movement characteristics during the first few months of age. In this paper, we propose a method to evaluate infant movement from videos based on non-negative tensor factorization (NTF) and apply it to ASD risk assessment in the neonatal period. The proposed method applies NTF to pose data estimated from videos, and decomposes the infant's movements into multiple components while considering the linkage between body parts. In the experiment, we evaluated the effectiveness of the proposed method using 36 low-risk infants and 13 high-risk infants for ASD, with the aim of applying the method to ASD risk assessment. The results showed that the proposed method captured the tendency for infants to perform different movements depending on their risk level. Machine learning analysis revealed that the proposed method identified ASD risk with an accuracy exceeding 70%, which was comparable or superior to the existing video evaluation method based on heuristically designed indicators. © 2025 IEEE.

关键词： Non-negative matrix factorization

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Estimation of Probability of Debonding of Steel Plates Strengthened by Bonding CFRP Plates and Its Verification by Statistical Experiment under Bending Load

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Zairyo/Journal of the Society of Materials science, Japan 2022年第3期71卷 273-280页

作者： Nakamura, Kazuyuki Kasayuki, Kensuke Kawahara, Koki Kanekiyo, Hiroaki Ishikawa, Toshiyuki ITOCHU Techno-Solusions Corporation Kamiyacho Trust Tower Minato-ku Tokyo105-6950 Japan Hitachi Zousen Corporation Suminoe-ku Osaka559-8559 Japan Graduate School of Science and Engineering Kansai University Yamate-cho Suita564-8680 Japan Department of Civil Environment and Applied Systems Engineering Kansai University Yamate-cho Suita564-8680 Japan

Probabilistic property associated with debonding of CFRP-bonded steel plate under bending load is theoretically discussed by the use of a probabilistic model based upon a spatially random differential equation. Further, a statistical experiment for debonding of CFRP-bonded steel plate under bending load is performed to verify the theoretically estimated probabilistic property of debonding. First, a system of statically equilibrium equations is formulated to describe axial and shear forces of a steel plate bonded by a CFRP plate. Next, it is extended to a probabilistic model consisting of a system of spatially random differential equations where spatially random variation of the adhesive thickness is introduced as a random field, whose solution leads to a spatially random variation of a principal stress of the adhesive. A Monte Carlo simulation technique is then applied to estimate the probability of debonding under bending load based upon the proposed probabilistic model, where the debonding of adhesive is supposed to occur when the maximum principal stress exceeds a critical value. Further, statistical experiment is also performed to clarify the probability that the debonding of CFRP-bonded steel plates occurs under bending load. Finally, the experimental result is compared with the probability of debonding estimated through the Monte Carlo simulation. The result shows that the probability of debonding obtained through the statistical experiment can be quite well reproduced by the Monte Carlo result based upon the proposed probabilistic model. © 2022 The Society of Materials science, Japan.

关键词： Monte Carlo methods

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Development of a Deep Sea Remote Experiment System for Visualizing Methane Bubbles Behavior in Hydrate Environment

Development of a Deep Sea Remote Experiment System for Visua...

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International Symposium on Underwater Technology

作者： Jumpei Oda Hayato Kondo Shukichi Kobayashi Chiharu Aoyama Graduate School of Marine Science and Technology Tokyo University of Marine Science and Technology Tokyo Japan Department of Maritime Systems Engineering Tokyo University of Marine Science and Technology Tokyo Japan Tokyo University of Marine Science and Technology Tokyo Japan

ISBN: (数字)9798331534189

ISBN: (纸本)9798331534196

As part of the research and development of shallow methane hydrate recovery and production technologies for deep-sea environments, the potential use of membrane structures for capturing methane seeps while mining and for pollution prevention to reduce environmental impact of mining has been investigated. In our previous study, we developed a visualization system that replicates the methane hydrate environment on the seafloor in a laboratory setting. This system has been utilized to conduct numerous laboratory experiments, providing insights into the behavior of methane bubbles with a hydrate film on their surface. These bubbles differ from conventional methane bubbles in their interaction with various membrane materials. The pure water is utilized in these experiments to eliminate the impact of complex variables present in sea water, such as dissolved gases, ions, and particles. To validate the applicability of the obtained characteristics to the actual sea environment, comparison tests should be conducted in the deep sea, where methane hydrate exists. In this study, we have developed a deep sea remote experiment system that has capabilities to execute analogous tests in situ within a deep sea environment. The design of the system and some results obtained at depths of approximately 1000 meters are presented in this paper.

关键词： Methane Meters Visualization Sea surface Pollution Prevention and mitigation Sea floor Production Underwater technology Research and development

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New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking

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Computers, Materials & Continua 2022年第12期73卷 4595-4609页

作者： Deepak Sukheja Javaid Ahmad Shah G.Madhu K.Sandeep Kautish Fahad A.Alghamdi Ibrahim.S.Yahia El-Sayed M.El-Kenawy Ali Wagdy Mohamed Department of Computer Science and Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia Department of Mathematics Dr.APJ Abdul Kalam University Indore(M.P)India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia LBEF Campus Kathmandu44600Nepal Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Laboratory of Nano-Smart Materials for Science and Technology(LNSMST) Department of PhysicsFaculty of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Nanoscience Laboratory for Environmental and Biomedical Applications(NLEBA) Semiconductor Lab.Department of PhysicsFaculty of EducationAin Shams UniversityRoxyCairo 11757Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics and Actuarial Science School of Sciences Engineering The American University in CairoEgypt

Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational *** this case,the fuzzification and defuzzification processes can be very *** is an effective process to get a single number from the output of a fuzzy *** defuzzification as a center point of this research paper,to analyze and understand the effect of different types of vehicles according to their *** this paper,the multi-criteria decision-making(MCDM)process under uncertainty and defuzzification is discussed by using the center of the area(COA)or ***,to find the best solution,Hurwicz criteria are used on the defuzzified ***-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy *** proposed technique considers all types of decision makers’perspectives such as optimistic,neutral,and pessimistic which is crucial in solving decisionmaking problems.A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among *** significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.

关键词： Defuzzification decision-making fuzzy numbers Hurwicz multicriteria decision-making ranking order

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Modeling of Body Pressure Distribution on Alternative Pressure Mattress

Modeling of Body Pressure Distribution on Alternative Pressu...

引用

International Conference on Autonomous Robots and Agents, ICARA

作者： Masamichi Kosuge Masaki Takahashi School of Science for Open and Environmental Systems Graduate School of Science and Technology Keio University Yokohama Japan Department of System Design Engineering Faculty of Science and Technology Keio University Yokohama Japan

Recently, an alternative pressure mattress has been proposed to prevent pressure ulcers. In this study, we aim to design a control system for body pressure distribution using the mattress. This study focuses on modeling the dynamics between the body pressure distribution and the mattress. As modeling based on first principles is challenging, we identify the model from experimental data. However, when high-dimensional data such as body pressure distribution are directly used for identification, the model accuracy can deteriorate. Therefore, we need to determine the suitable model structure or dataset. Herein, we examined how the prediction accuracy of body pressure distribution varies with the dataset and model structure. We also proposed a method for representing the model as the dynamics of the parameters of the Gaussian Mixture Model to suppress the estimated parameters. To the best of our knowledge, this study is the first to propose the body pressure model as dynamics of the parameters of the Gaussian Mixture Model.

关键词： Automation Shape Predictive models control systems Approximation error Data models History

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Data Informativity under Data Perturbation

arXiv

引用

arXiv 2025年

作者： Kaminaga, Taira Sasahara, Hampei Department of Systems and Control Engineering Graduate School of Engineering Institute of Science Tokyo Tokyo Japan

Data informativity provides a theoretical foundation for determining whether collected data are sufficiently informative to achieve specific control objectives in data-driven control frameworks. In this study, we investigate the data informativity subject to noise characterized by quadratic matrix inequalities (QMIs), which describe constraints through matrix-valued quadratic functions. We introduce a generalized noise model, referred to as data perturbation, under which we derive necessary and sufficient conditions formulated as tractable linear matrix inequalities for data informativity with respect to stabilization and performance guarantees via state feedback, as well as stabilization via output feedback. Our proposed framework encompasses and extends existing analyses that consider exogenous disturbances and measurement noise, while also relaxing several restrictive assumptions commonly made in prior work. A central challenge in the data perturbation setting arises from the non-convexity of the set of systems consistent with the data, which renders standard matrix S-procedure techniques inapplicable. To resolve this issue, we develop a novel matrix S-procedure that does not rely on convexity of the system set by exploiting geometric properties of QMI solution sets. Furthermore, we derive sufficient conditions for data informativity in the presence of multiple noise sources by approximating the combined noise effect through the QMI framework. The proposed results are broadly applicable to a wide class of noise models and subsume several existing methodologies as special cases. Copyright © 2025, The Authors. All rights reserved.

关键词： Linear matrix inequalities

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