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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Chang Liu Tamas Sziranyi Department of Networked Systems and Services Budapest University of Technology and Economics Műegyetem rkp. 3H-1111 Budapest Hungary Machine Perception Research Laboratory of HUN-REN Institute for Computer Science and Control (SZTAKI) H-1111 Budapest Kende u. 13-17 Hungary Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics (BME-KJK) Műegyetem rkp. 3 Budapest Hungary

In recent years, the increasing prevalence and intensity of wildfires have posed significant challenges to emergency response teams. The utilization of unmanned aerial vehicles (UAVs), commonly known as drones, has shown promise in aiding wildfire management efforts. This work focuses on the development of an optimal wildfire escape route planning system specifically designed for drones, considering dynamic fire and smoke models. First, the location of the source of the wildfire can be well located by information fusion between UAV and satellite, and the road conditions in the vicinity of the fire can be assessed and analyzed using multichannel remote sensing data. Second, the road network can be extracted and segmented in real time using UAV vision technology, and each road in the road network map can be given priority based on the results of road condition classification. Third, the spread model of dynamic fires calculates the new location of the fire source based on the fire intensity, wind speed and direction, and the radius increases as the wildfire spreads. Smoke is generated around the fire source to create a visual representation of a burning fire. Finally, based on the improved A* algorithm, which considers all the above factors, the UAV can quickly plan an escape route based on the starting and destination locations that avoid the location of the fire source and the area where it is spreading. By considering dynamic fire and smoke models, the proposed system enhances the safety and efficiency of drone operations in wildfire environments.

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Stability analysis of Nash equilibrium for 2-agent loss-aversion-based noncooperative switched systems

arXiv

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arXiv 2020年

作者： Yan, Yuyue Hayakawa, Tomohisa The Department of Systems and Control Engineering Tokyo Institute of Technology Meguro Tokyo152-8552 Japan

The stability property of the loss-aversion-based noncooperative switched systems with quadratic payoffs is investigated. In this system, each agent adopts the lower sensitivity parameter in the myopic pseudo-gradient dynamics for the case of losing utility than gaining utility, and both system dynamics and switching events (conditions) are depending on agents' payoff functions. Sufficient conditions under which agents' state converges towards the Nash equilibrium are derived in accordance with the location of the Nash equilibrium. In the analysis, the mode transition sequence and interesting phenomena which we call flash switching are characterized. We present several numerical examples to illustrate the properties of our results. Copyright © 2020, The Authors. All rights reserved.

关键词： Game theory

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Linear Parameter-Varying control of a Floating Piston Electro-Pneumatic Actuator

Linear Parameter-Varying Control of a Floating Piston Electr...

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IEEE International Conference on Intelligent Engineering systems (INES)

作者： Adam Szabo Tamas Becsi Szilard Aradi Department of Control for Transportation and Vehicle Systems Budapest Univ. of Technology and Economics Budapest Hungary

ISBN: (数字)9781728110592

ISBN: (纸本)9781728110608

This paper deals with the control design of an electro-pneumatic gearbox actuator. The controller must be able to handle the highly nonlinear and unstable behavior of the system, while it also has to meet strict, partly contradictory requirements. The state-space representation of the actuator can be formulated as a quasi-Linear Parameter Varying system, thus a grid-based LPV/ℋ 2 controller has been developed, which has been tested in a Model in the Loop environment. Based on the testing results, the controller proved to be a good trade-off between the requirements. Meanwhile, it has better overall performance than the widely used LTI control methods.

关键词： Pistons Mathematical model Valves Actuators Solenoids Atmospheric modeling Gears

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Energy System control Optimization Criterion Development 25

Energy System Control Optimization Criterion Development

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25th IEEE International Conference on Problems of Automated Electric Drive. Theory and Practice, PAEP 2020

作者： Zalunina, Olga Kasych, Alla Ogar, Vita Perekrest, Andrii Serhiienko, Serhii Kushch-Zhyrko, Mykhailo Kremenchuk Mykhailo Ostrohradskyi National University Department of Economics and Management Kremenchuk Ukraine Kyiv National University of Technologies and Design Management Department Kyiv Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Systems of Automatic Control and Electric Drive Department Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Automation and Computer-Integrated Technologies Kremenchuk Ukraine

ISBN: (纸本)9781728199351

the article is dedicated to the composition of the energy system control optimization criterion for industry and construction. Energy systems functioning problems that impede energy-saving technologies introduction are considered. The article offers a composite criterion for system control optimization to assess the rate of its recovery. The mathematical description of the systems state recovery processes is based on the analysis of homogeneous and inhomogeneous linear stochastic differential equations. The offered criterion allows to describe system functioning and, as a result, minimize non-uniformity parameter. Production systems state functional recovery model mathematical description is presented and the feasibility of its application is substantiated. © 2020 IEEE.

关键词： Energy conservation

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Diagnostic Assessment of the Competency Maturity of Electrical Engineers through Profession-oriented Problems 25

Diagnostic Assessment of the Competency Maturity of Electric...

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25th IEEE International Conference on Problems of Automated Electric Drive. Theory and Practice, PAEP 2020

作者： Chornyi, Oleksiy Herasymenko, Larysa Zelenska, Liudmyla Kremenchuk Mykhailo Ostrohradskyi National University Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Psychology Pedagogy and Philosophy Kremenchuk Ukraine H.S. Skovoroda Kharkiv National Pedagogical University Department of General Pedagogy and Pedagogy of the Higher School Kharkiv Ukraine

ISBN: (纸本)9781728199351

The paper deals with the problem of assessing the maturity of electrical engineering students regarding both professional (the ability to apply existing methods, techniques, technologies to solve engineering problems in electrical energetics, electrical engineering and electromechanics, the ability to develop and implement measures to improve the equipment reliability and operation) and general competencies (the ability to apply knowledge in workplace situations, make informed decisions, identify and estimate risks, the ability to use abstract thinking, analysis and synthesis) during their training in a higher technical institution. Various types of profession-oriented problems have been developed and suggested, such as general theoretical, cognitive, operational and evaluative ones. According to the research, the use of profession-oriented problems that are closely connected with the real manufacturing process makes it possible to design changes to educational programs for training professionals in a particular field as well as to assess the readiness of electrical engineering students to carry out their professional duties in a real workplace. © 2020 IEEE.

关键词： Reliability analysis

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The forgotten document-oriented database management systems: An overview and benchmark of native XML DODBMSes in comparison with JSON DODBMSes

arXiv

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arXiv 2021年

作者： Truică, Ciprian-Octavian Apostol, Elena-Simona Darmont, Jérôme Pedersen, Torben Bach Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania Department of Computer Science Aarhus University Aarhus Denmark Université de Lyon ERIC UR 3083 Lyon 2 France Center for Data Intensive Systems Aalborg University Aalborg Denmark

In the current context of Big Data, a multitude of new NoSQL solutions for storing, managing, and extracting information and patterns from semi-structured data have been proposed and implemented. These solutions were developed to relieve the issue of rigid data structures present in relational databases, by introducing semi-structured and flexible schema design. As current data generated by different sources and devices, especially from IoT sensors and actuators, use either XML or JSON format, depending on the application, database technologies that store and query semi-structured data in XML format are needed. Thus, Native XML Databases, which were initially designed to manipulate XML data using standardized querying languages, i.e., XQuery and XPath, were rebranded as NoSQL Document-Oriented Databases systems. Currently, the majority of these solutions have been replaced with the more modern JSON based Database Management systems. However, we believe that XML-based solutions can still deliver performance in executing complex queries on heterogeneous collections. Unfortunately nowadays, research lacks a clear comparison of the scalability and performance for database technologies that store and query documents in XML versus the more modern JSON format. Moreover, to the best of our knowledge, there are no Big Data-compliant benchmarks for such database technologies. In this paper, we present a comparison for selected Document-Oriented Database systems that either use the XML format to encode documents, i.e., BaseX, eXist-db, and Sedna, or the JSON format, i.e., MongoDB, CouchDB, and Couchbase. To underline the performance differences we also propose a benchmark that uses a heterogeneous complex schema on a large DBLP corpus. © 2021, CC BY.

关键词： XML

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Event-triggered state estimation for T-S fuzzy affine systems based on piecewise Lyapunov-Krasovskii functionals

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control Theory and technology 2019年第1期17卷 99-111页

作者： Meng WANG Jianbin QIU Gang FENG Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong China State Key Laboratory of Robotics and Systems & Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China

This paper investigates the problem of event-triggered H∞state estimation for Takagi-Sugeno (T-S) fuzzy affine systems. The objective is to design an event-triggered scheme and an observer such that the resulting estimation error system is asymptotically stable with a prescribed H∞performance and at the same time unnecessary output measurement transmission can be reduced. First, an event-triggered scheme is proposed to determine whether the sampled measurements should be transmitted or not. The output measurements, which trigger the condition, are supposed to suffer a network-induced time-varying and bounded delay before arriving at the observer. Then, by adopting the input delay method, the estimation error system can be reformulated as a piecewise delay system. Based on the piecewise Lyapunov-Krasovskii functional and the Finsler's lemma, the event-triggered H∞observer design method is developed. Moreover, an algorithm is proposed to co-design the observer gains and the event-triggering parameters to guarantee that the estimation error system is asymptotically stable with a given disturbance attenuation level and the signal transmission rate is reduced as much as possible. Simulation studies are given to show the effectiveness of the proposed method.

关键词： Takagi-Sugeno (T-S) fuzzy affine systems event-triggered scheme, piecewise Lyapunov-Krasovskii functional, state estimation

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The method of teaching IT students computer analysis of ergonomic reserves of the effectiveness of automated control systems

The method of teaching IT students computer analysis of ergo...

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2020 International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters, ICSF 2020

作者： Lavrov, Evgeniy Pasko, Nadiia Siryk, Olga Kisel, Natalia Sedova, Nelly Sumy State University Department of Computer Science Sumy Ukraine Sumy National Agrarian University Department of Cybernetics and Informatics Sumy Ukraine Taras Shevchenko National University of Kyiv Department of General Mathematics Kyiv Ukraine Southern Federal University Institute of Radio Engineering Systems and Control Taganrog Russia Maritime State University Named after G.I.Nevelskoy Department of Automatic and Information Systems Vladivostok Russia

In the article, we consider a technique for training university students, who study IT specialties to solve problems of finding ergonomic reserves to improve the efficiency of automated systems. We describe the structure of the "Ergonomics of Automated systems" course, software for evaluating and optimizing the activities of operators of "human-equipment-environment" systems, and methodological techniques for using ergonomic computer modeling to build effective automated control systems. Discipline is built using a mansystem approach to the study and design of automated systems, when a person is considered the main element of the system, but the diverse influence of hardware, software and information support, as well as the environment, is taken into account. A significant difference between the developed method and similar existing disciplines devoted to the study of the "human factor" is that, firstly, not only the characteristics of the human operator working with technology are studied, but also the mutual influence of system elements;secondly, the course is based on a qualimetric approach to assess the reliability of the activity and the economic results of this activity;thirdly, the computer modeling used is focused on optimization with the use of economic criteria of activity, while observing the requirements of ergonomic norms and standards. Functional networks developed by the scientific school "Efficiency, Reliability, and Quality of Ergotechnical systems" by Professor Anatoly Ilyich Gubinsky were used as a methodological basis for modeling and optimization of activities. © The Authors, published by EDP Sciences, 2020.

关键词： Ergonomics

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A stepwise simultaneous perturbation stochastic approximation algorithm for stability improvement of active noise control systems

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Mechanical systems and Signal Processing 2025年 237卷

作者： Chao Liang Francesco Ripamonti Hamid Reza Karimi Stanisław Wrona Marek Pawełczyk Department of Mechanical Engineering Politecnico di Milano Via Privata Giuseppe La Masa 1 Milano 20156 Italy Silesian University of Technology Department of Measurements and Control Systems Akademicka 16 Gliwice 44-100 Poland

Simultaneous perturbation stochastic approximation (SPSA) has been widely investigated in active noise control (ANC) due to its model-free nature, which eliminates the need for system model estimation. Despite extensive efforts to enhance its performance, SPSA may suffer from instability and convergence issues, particularly in challenging environments. In this paper, we propose a stepwise SPSA algorithm that applies perturbations separately rather than simultaneously, significantly improving stability while maintaining comparable performance to standard SPSA. A Lyapunov-based theoretical analysis proves the algorithm’s robust stability. A parameter optimization framework further enhances performance by guiding the selection of perturbation coefficients and step sizes. Numerical simulations and real-time DSP board implementation validate the improved stability and practical effectiveness for ANC applications.

关键词： SPSA algorithm Active noise control Stability

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A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks

arXiv

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arXiv 2021年

作者： Reed, Emily A. Ramos, Guilherme Bogdan, Paul Pequito, Sérgio Ming Hsieh Electrical and Computer Engineering Department University of Southern California United States Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Portugal Delft University of Technology Delft Center for Systems and Control

Finding strongly connected components (SCCs) and the diameter of a directed network play a key role in a variety of discrete optimization problems, and subsequently, machine learning and control theory problems. On the one hand, SCCs are used in solving the 2-satisfiability problem, which has applications in clustering, scheduling, and visualization. On the other hand, the diameter has applications in network learning and discovery problems enabling efficient internet routing and searches, as well as identifying faults in the power grid. In this paper, we leverage consensus-based principles to find the SCCs in a scalable and distributed fashion with a computational complexity of O (Ddmax in-degree ) , where D is the (finite) diameter of the network and dmax in-degree is the maximum in-degree of the network. Additionally, we prove that our algorithm terminates in D + 1 iterations, which allows us to retrieve the diameter of the network. We illustrate the performance of our algorithm on several random networks, including Erdos-Rényi, Barabási- Albert, and Watts-Strogatz networks. Copyright © 2021, The Authors. All rights reserved.

关键词： Optimization

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