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2025 SICE International Symposium on control systems, SICE ISCS 2025

作者： Shikada, Kana Kawata, Masakatsu Sebe, Noburu Kyushu Institute of Technology Department of Creative Informatics Fukuoka Japan National Institute of Technology Kitakyushu College Department of Creative Engineering Fukuoka Japan Kyushu Institute of Technology Department of Intelligent and Control Systems Fukuoka Japan

ISBN: (纸本)9784907764852

This paper considers a minimum-order observer for the augmented system consisting of the nominal plant model and disturbance generating model (exosystem model). This paper shows that this minimum-order exosystem-model-based observer acts as a disturbance observer. Shikada and Sebe showed that the inverse-model-based disturbance observer can be realized as a full-order Luenberger-type observer for the nominal model. On the other hand, the exosystem-model-based disturbance observer is a full-order observer for the augmented system consisting of the nominal plant model and the exosystem model. Accordingly, the order of the exosystem-model-based disturbance observer is higher than that of the inverse-model-based disturbance observer. The minimum-order exosystem-model-based disturbance observer considered in this paper fills the gap of the difference in order. Furthermore, this paper also clarifies the one-to-one correspondence to the Luenberger-type disturbance observer for the nominal plant model. This correspondence shows that the minimum-order exosystem-model-based disturbance observer can achieve the same characteristics as the inverse-model-based disturbance observer. © 2025 The Society of Instrument and control Engineers.

关键词： Robust control

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Multi-Agent Model-Based Deep Reinforcement Learning: Testing the Method in Grid-World Environments

Multi-Agent Model-Based Deep Reinforcement Learning: Testing...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Vladimir V. Bazhenov Department of Informatics and Control Systems Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

This paper investigates the identification and resolution of social dilemmas in multi-agent reinforcement learning. The model of multi-agent environment was developed to simulate agent movement within grid-world scenarios. The study focuses on the MiniGrid and MultiGrid environments and proposes a method for multi-agent model-based reinforcement learning in these settings. The method was tested in comparison with value-based Q-learning, Deep Q-Network (DQN), Independent Q-Network (IQN), and Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithms. Experimental results demonstrate the effectiveness of the proposed approach in multi-agent grid-world environments.

关键词： Training Analytical models Power engineering Q-learning Machine learning algorithms Markov decision processes Stochastic processes Games Deep reinforcement learning Testing

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Three Ways to Integrate Microservices Into MARL

Three Ways to Integrate Microservices Into MARL

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Egor F. Morgunov Department of Informatics and Control Systems Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

Microservice architecture is a key component of modern distributed software systems, providing scalability and independent deployment of individual components. However, many different factors, such as the dynamic variability of modern Internet services and the evolution of user requests, can offset the advantages of microservices. Machine learning algorithms, in particular deep reinforcement learning, are an effective way to optimize distributed software systems, allowing adaptive management of system resources in non-stationary environments. This paper discusses the integration of multi-agent reinforcement learning into a micro service architecture. The paper demonstrates the results of training intelligent agents in the road selection service based on the current weather condition. Three methods of integrating deep Q-Iearning into the microservice architecture were developed, and three classical algorithms of deep reinforcement learning were used to evaluate the effectiveness of the methods.

关键词： Training Scalability Roads Neural networks Web and internet services Microservice architectures Computer architecture Software systems Deep reinforcement learning Resource management

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TCIP: Transformed Colour Intensity Profiles analysis for fault detection in power line insulators

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Multimedia Tools and Applications 2025年第8期84卷 4503-4534页

作者： Tomaszewski, Michal Gasz, Rafal Kasana, Singara Singh Osuchowski, Jakub Singh, Simranjit Zator, Slawomir Department of Computer Science Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Prószkowska 76 Opole45-758 Poland Department of Computer Science and Information Technology Central University of Haryana Haryana Mahendergarh123031 India Department of Information Technology Dr B. R. Ambedkar National Institute of Technology Punjab Jalandhar India Department of Safety Engineering and Technical Systems Faculty of Production Engineering and Logistics Opole University of Technology Prószkowska 76 Opole45-758 Poland

In response to the escalating demand for electricity, the aging process and inherent failures in power lines have become unavoidable challenges in their operational integrity. This research addresses the imperative need for a robust method to detect damage in power insulator disc images, introducing a novel feature extraction technique grounded in color intensity profile transformation and ensemble learning. For the purposes of the research, a specific dataset was developed based on publicly available images of power insulators. The collection consists of 9232 images of insulator discs which included 2184 images of damaged discs. The discernible damages include breakages and burnouts. Two distinct analysis variants were employed. In the first variant (V1), two classification groups were selected: disc with damages and disc without damages. In the second variant (V2), three classification groups were selected: discs without damage, broken discs, and burnout discs. The described research was divided into two successive stages. In the first of them (S1), the transformed color intensity profiles for the prepared data set were built and various machine learning models for their classification were trained and evaluated. In the next stage (S2), previously developed, highest efficient machine learning models, were used to make the detection of various damaged types of overhead line insulator discs. For the first stage of research high-performance results and a high value of the F1 score parameters were obtained (F1 score = 0.999 for the first variant (S1V1) and F1 score = 0.992 for the second variant (S1V2). In the second stage of research and the first variant (S2V1), the highest result of the F1 score was 0.932 and for the second variant (S2V2) F1 score was 0.930. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Feature extraction

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Rational Gaussian wavelets and corresponding model driven neural networks

arXiv

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arXiv 2025年

作者： Ámon, Attila Miklós Fenech, Kristian Kovács, Péter Dózsa, Tamás Eötvös Loránd University Faculty of Informatics Department of Numerical Analysis Hungary Eötvös Loránd University Faculty of Informatics Department of Artificial Intelligence Hungary HUN-REN Institute for Computer Science and Control Systems and Control Laboratory Hungary University of Győr Hungary

In this paper we consider the continuous wavelet transform using Gaussian wavelets multiplied by an appropriate rational term. The zeros and poles of this rational modifier act as free parameters and their choice highly influences the shape of the mother wavelet. This allows the proposed construction to approximate signals with complex morphology using only a few wavelet coefficients. We show that the proposed rational Gaussian wavelets are admissible and provide numerical approximations of the wavelet coefficients using variable projection operators. In addition, we show how the proposed variable projection based rational Gaussian wavelet transform can be used in neural networks to obtain a highly interpretable feature learning layer. We demonstrate the effectiveness of the proposed scheme through a biomedical application, namely, the detection of ventricular ectopic beats (VEBs) in real ECG *** Codes 65D15 © 2025, CC BY.

关键词： Electrocardiography

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Discrete control algorithms for systems with big dead time for control101 MATLAB toolbox

Discrete control algorithms for systems with big dead time f...

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Cybernetics & informatics (K&I)

作者： Ruth Bars Gyula Max J. Anthony Rossiter László Keviczky Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary School of Electrical and Electronic Engineering University of Sheffield Sheffield UK Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

ISBN: (数字)9798331541811

ISBN: (纸本)9798331541828

The first course of control is under a critical review. Both the teaching material covered and the teaching methods require new considerations. Introducing interactivity in the education process makes the learning more successful and enjoyable. MATLAB provides an effective environment for learning and applying different disciplines. control101 is a new MATLAB toolbox under development which provides tools for interactive learning of control disciplines. This paper presents the framework for teaching discrete control algorithms applied for processes containing large dead times.

关键词： Visualization Systematics PI control Reviews Education Laboratories Process control Prediction algorithms PD control MATLAB

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Minimum-Order Exosystem-Model-Based Disturbance Observer

Minimum-Order Exosystem-Model-Based Disturbance Observer

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SICE International Symposium on control systems (ISCS)

作者： Kana Shikada Masakatsu Kawata Noburu Sebe Department of Creative Informatics Kyushu Institute of Technology Fukuoka Japan Department of Creative Engineering National Institute of Technology Kitakyushu College Fukuoka Japan Department of Intelligent and Control Systems Kyushu Institute of Technology Fukuoka Japan

ISBN: (数字)9784907764852

ISBN: (纸本)9798331533502

关键词： Robust control Hands Sensitivity Fluctuations Shape control systems Disturbance observers Servomotors

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Effect of Dy2O3 on the phase formation and electrical properties of Tl-1223 HTS

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Fizika Nizkikh Temperatur 2025年第1期51卷 59-63页

作者： Metskhvarishvili, I.R. Menelaou, Melita Lobzhanidze, T.E. Dgebuadze, G.N. Surmanidze, D.L. Bendeliani, B.G. Gabunia, V.M. Metskhvarishvili, M.R. Jishiashvili, D.A. Ilia Vekua Sukhumi Institute of Physics and Technology Laboratory of Cryogenic Technique and Technologies Georgia Tbilisi0186 Georgia Georgian Technical University Faculty of Informatics and Control Systems Department of Microprocessor and Measurement Systems Tbilisi0175 Georgia Department of Mechanical Engineering and Materials Science and Engineering Cyprus University of Technology Limassol3036 Cyprus Ivane Javakhishvili Tbilisi State University Faculty of Exact and Natural Sciences Department of Chemistry Tbilisi0179 Georgia Petre Melikishvili Institute of Physical and Organic Chemistry the Iv. Javakhishvili Tbilisi State University Tbilisi0186 Georgia "Talga" Institute of Georgian Technical University Tbilisi0186 Georgia V. Chavchanidze Institute of Cybernetics the Georgian Technical University Tbilisi0186 Georgia

TlBa2Ca2Cu3DyxO8+δ superconductor samples (x = 0–0.075) were prepared by a two-step solid-state reaction technique to investigate the impact of Dy2O3 (dysprosium sesquioxide) addition on the formation and the transport properties of the Tl-1223 phase. The samples were analyzed using X-ray powder diffraction, ac susceptibility, and high-harmonics temperature dependence to study the effects of Dy2O3 on phase formation, superconducting transition temperature Tc, and the intergrain critical current density Jc. XRD results revealed that the prepared samples are nearly single-phases Tl-1223 with a tetragonal structure. Tc is not suppressed as Dy content increased, while Jc increased up to x = 0.025, then decreased with a further increase in x. Our findings show that the presence of dysprosium sesquioxide promotes the high-Tc phase and enhances the transport critical current densities. © I. R. Metskhvarishvili, Melita Menelaou, T. E. Lobzhanidze, G. N. Dgebuadze, D. L. Surmanidze, B. G. Bendeliani, V. M. Gabunia, M. R. Metskhvarishvili, and D. A. Jishiashvili, 2025.

关键词： X ray powder diffraction

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Pairwise vs Higher-order interactions: Can we identify the interaction type in coupled oscillators from time series?

arXiv

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arXiv 2025年

作者： Su, Weiwei Hata, Shigefumi Kori, Hiroshi Nakao, Hiroya Kobayashi, Ryota Department of Complexity Science and Engineering The University of Tokyo Kashiwa277-0882 Japan Graduate School of Science and Engineering Kagoshima University Kagoshima890-0065 Japan Department of Mathematical Informatics The University of Tokyo Bunkyo113-8654 Japan Department of Systems and Control Engineering Institute of Science Tokyo Meguro152-8552 Japan Research Center for Autonomous Systems Materialogy Institute of Science Tokyo Yokohama226-8501 Japan Mathematics and Informatics Center The University of Tokyo Bunkyo113-8656 Japan

Rhythmic phenomena, which are ubiquitous in biological systems, are typically modelled as systems of coupled limit cycle oscillators. Recently, there has been an increased interest in understanding the impact of higher-order interactions on the population dynamics of coupled oscillators. Meanwhile, estimating a mathematical model from experimental data is a vital step in understanding the dynamics of real-world complex systems. In coupled oscillator systems, identifying the type of interaction (e.g. pairwise or three-body) of a network is challenging, because different interactions can induce similar dynamical states and bifurcations. In this study, we have developed a method based on the adaptive LASSO (Least Absolute Shrinkage and Selection Operator) to infer the interactions between the oscillators from time series data. The proposed method can successfully classify the type of interaction and infer the probabilities of the existence of pairwise and three-body couplings. Through systematic analysis of synthetic datasets, we have demonstrated that our method outperforms two baseline methods, LASSO and OLS (Ordinary Least Squares), in accurately inferring the topology and strength of couplings between oscillators. Finally, we demonstrate the effectiveness of the proposed method by applying it to the synthetic data of 100 oscillators. These results imply that the proposed method is promising for identifying interactions from rhythmic activities in real-world systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Population dynamics

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Accelerating Stable Matching between Workers and Spatial-Temporal Tasks for Dynamic MCS: A Stagewise Service Trading Approach

arXiv

引用

arXiv 2025年

作者： Qi, Houyi Liwang, Minghui Wang, Xianbin Fu, Liqun Hong, Yiguang Li, Li Cheng, Zhipeng School of Informatics Xiamen University Fujian China Department of Control Science and Engineering Canada Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China Department of Electrical and Computer Engineering Western University ON Canada School of Future Science and Engineering Soochow University Jiangsu China

Designing proper incentives in mobile crowdsensing (MCS) networks represents a critical mechanism in engaging distributed mobile users (workers) to contribute heterogeneous data for diverse applications (tasks). We develop a novel stagewise trading framework to reach efficient and stable matching between tasks and workers, upon considering the diversity of tasks and the dynamism of MCS networks. This framework integrates futures and spot trading stages, where in the former, we propose futures trading-driven stable matching and pre-path-planning (FT-SMP3) for long-term task-worker assignment and pre-planning of workers’ paths based on historical statistics and risk analysis. While in the latter, we investigate spot trading-driven DQN path planning and onsite worker recruitment (ST-DP2WR) mechanism to enhance workers’ and tasks’ practical utilities by facilitating temporary worker recruitment. We prove that our proposed mechanisms support crucial properties such as stability, individual rationality, competitive equilibrium, and weak Pareto optimality theoretically. Also, comprehensive evaluations confirm the satisfaction of these properties in practical network settings, demonstrating our commendable performance in terms of service quality, running time, and decision-making overheads. Copyright © 2025, The Authors. All rights reserved.

关键词： Risk analysis

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