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arXiv 2019年

作者： Kato, Yuzuru Yamamoto, Naoki Nakao, Hiroya Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8552 Japan Department of Applied Physics and Physico-Informatics Keio University Kanagawa223-8522 Japan

We develop a general theoretical framework of semiclassical phase reduction for analyzing synchronization of quantum limit-cycle oscillators. The dynamics of quantum dissipative systems exhibiting limit-cycle oscillations are reduced to a simple, one-dimensional classical stochastic differential equation approximately describing the phase dynamics of the system under the semiclassical approximation. The density matrix and power spectrum of the original quantum system can be approximately reconstructed from the reduced phase equation. The developed framework enables us to analyze synchronization dynamics of quantum limit-cycle oscillators using the standard methods for classical limit-cycle oscillators in a quantitative way. As an example, we analyze synchronization of a quantum van der Pol oscillator under harmonic driving and squeezing, including the case that the squeezing is strong and the oscillation is asymmetric. The developed framework provides insights into the relation between quantum and classical synchronization and will facilitate systematic analysis and control of quantum nonlinear oscillators. Copyright © 2019, The Authors. All rights reserved.

关键词： Synchronization

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Semiclassical phase reduction theory for quantum synchronization

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Physical Review Research 2019年第3期1卷 033012-033012页

作者： Yuzuru Kato Naoki Yamamoto Hiroya Nakao Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo 152-8552 Japan Department of Applied Physics and Physico-Informatics Keio University Hiyoshi 3-14-1 Kohoku Yokohama 223-8522 Japan

关键词： Open quantum systems Synchronization

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The Image Analysis Using Fast Radial Symmetry Transform in control systems Base on the Computer Vision

The Image Analysis Using Fast Radial Symmetry Transform in C...

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International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

作者： S. Lyasheva M. Shleymovich R. Shakirzyanov Department for Applied Mathematics and Informatics Kazan National Research Technical University Kazan Russia Department for Automated Systems for Information Processing and Control Kazan National Research Technical University Kazan Russia

Currently computer vision-based control systems are widely used. In such systems, procedures for detecting specified objects in images, calculating their characteristics and generating information for decision making are implemented. Mostly, in practice, the detected objects have the property of radial symmetry. For example, round markers are used as such objects, providing precise positioning in robotic systems. For their detection various methods of processing and analyzing images can be used. In this paper, we consider an approach based on the fast radial symmetry transform. As its application example, an algorithm for detecting centers of radially symmetric objects is considered. It is shown that this algorithm allows detecting the centers of radially symmetric objects in the conditions of noise that interfere with scene analysis in real conditions of the control systems operation. Besides, it shows how the algorithm is used in combination with the circles-detecting Hough method. The Hough method has a number of parameters, the setting of which is a time-consuming process as they are very sensitive to the size and location of the circles. The application of the algorithm for the circles' centers detecting makes it possible to refine the found circle by the degree of proximity of the center, obtained using the Hough method, to one of the centers obtained by fast radial symmetry transform.

关键词： Transforms control systems Detectors Image analysis Industrial engineering Shape Image color analysis

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Identification and modeling of a nonlinear vibrating beam for real-time control and estimation 25

Identification and modeling of a nonlinear vibrating beam fo...

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25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018

作者： Mikuláš, Erik Takács, Gergely Gulan, Martin Abdollahpouri, Mohammad Rohal'-Ilkiv, Boris Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia Systems and Control Electrical Engineering Chalmers University of Technology Gothenburg Sweden

ISBN: (纸本)9781510868458

The real-time implementation of control and estimation algorithms on microcontrollers with limited memory and computational power requires a model that describes the dynamics of the vibrating system in sufficient detail, yet makes real-time deployment on sampled systems feasible. While extracting a model from finite element analysis is always possible, this approach yields models that are too complex to be evaluated in sample timing that is typical for vibration phenomena. In case of nonlinear vibrations, this is even more critical as state-of-the-art optimal control and estimation algorithms will have to evaluate a non-convex objective function. This paper introduces the modeling and system identification procedure of a nonlinear vibrating beam that results a real-time feasible mathematical model. Position and velocity measurements are made on a slender vibrating beam mounted equipped with a tip mass on a linear excitation stage using non-contact laser Doppler vibrometry. The measurement results are then fitted to two model candidates by using genetic algorithms to identify unknown parameters. Models are verified in simulation and their outputs are compared to experimental measurements. © 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. All rights reserved.

关键词： Genetic algorithms

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Difference-based Identification Method for systems with Rate-independent Hysteresis and Its Application to Rechargeable Battery

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IFAC-PapersOnLine 2018年第15期51卷 150-155页

作者： Kawaguchi, T. Maruta, I. Osamura, K. Adachi, S. Department of Systems and Control Engineering Graduate School of Engineering Tokyo Institute of Technology Tokyo Japan Department of Aeronautics and Astronautics Graduate School of Engineering Kyoto University Kyoto Japan Calsonic Kansei Corporation Saitama Japan Department of Applied Physics and Physico-Informatics Keio University Yokohama Japan

In this paper, we consider identification of a linear system connected in parallel with the rate-independent hysteresis. Since the parallel system provides only the combined output of the two systems, it is required to extract the signal related to the target system from the observed data to identify the systems separately. In order to achieve this, we propose a system identification method, in which the identification experiment is performed twice with appropriately designed input signals. The inputs make the responses of the hysteresis identical in the two experiments, therefore the difference of the two observed outputs is related to only the target linear system. Then, the linear system is identified using the difference. The proposed method is applied to a rechargeable battery, whose output originates from the nonlinear and the linear elements: open circuit voltage with hysteresis and overpotential. The effectiveness of the proposed method is illustrated through a numerical simulation of the rechargeable battery. © 2018

关键词： Secondary batteries Hysteresis Identification (control systems) Linear systems Numerical methods Open circuit voltage Parameter estimation Religious buildings Signal processing Identification method ITS applications Linear element nonlinearity Parallel system Rate independent hysteresis System identification methods Target systems

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An Early Stage Researcher's Primer on systems Medicine Terminology

Network and Systems Medicine

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Network and systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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Image Borders Detection Based on the Weight Model Analysis and the Morphological Gradient Operation

Image Borders Detection Based on the Weight Model Analysis a...

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International Russian Automation Conference (RusAutoCon)

作者： Stella Lyasheva Oleg Morozov Mikhail Shleymovich Department for Applied Mathematics and Informatics Kazan National Research Technical University named after A. N. Tupolev-KAI Kazan Russia Department for Radio-Photonics and Microwave Technologies Kazan National Research Technical University named after A. N. Tupolev-KAI Kazan Russia Department for Automated Systems for Information Processing and Control Kazan National Research Technical University named after A. N. Tupolev-KAI Kazan Russia

ISBN: (数字)9781728161303

ISBN: (纸本)9781728161310

The paper describes an approach to the image borders detection that is based on the use of the weight model and the operation of the morphological gradient calculating. The proposed method relates to multiscale image segmentation methods that use the Haar orthogonal wavelet transform. The border detection procedure includes smoothing the original image, building the weight model of the image (weight image), smoothing the weight image, setting the threshold weight value, performing threshold transformation of the weight image to form a binary image, and performing gradient morphological processing of the binary image. The described method allows segmenting the original image to extract information about the borders. This information is used to calculate attributes and their analysis in computer vision systems.

关键词： Image segmentation Computer vision Brightness Wavelet coefficients Mathematical model

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Single trial ERP amplitudes reveal the time course of acquiring representations of novel faces in individual participants

arXiv

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arXiv 2020年

作者： Sommer, Werner Stapor, Katarzyna Kończak, Grzegorz Kotowski, Krzysztof Fabian, Piotr Ochab, Jeremi Bereś, Anna Ślusarczyk, Grażyna Humboldt-University at Berlin Department of Psychology Germany Silesian University of Technology Institute of Computer Science Gliwice Poland University of Economics in Katowice Department of Statistics Econometrics and Mathematics Poland Silesian University of Technology Department of Applied Informatics Gliwice Poland Silesian University of Technology Department of Algorithmics and Software Gliwice Poland Jagiellonian University Department of Theory of Complex Systems Krakow Poland Jagiellonian University Department of Cognitive Neuroscience and Neuroergonomics Krakow Poland Jagiellonian University Department of Design and Computer Graphics Krakow Poland Institut für Psychologie Humboldt-Universität zu Berlin Rudower Chaussee 18 Berlin12489 Germany Faculty of Automatic Control Electronics and Computer Science Department of Applied Informatics Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

The neural correlates of face individuation – the acquisition of memory representations for novel faces – have been studied only in coarse detail and disregarding individual differences between learners. In their seminal study, (Tanaka, Curran, Porterfield, & Collins, 2006) required the identification of a particular novel face across 70 trials and found that the N250 component in the ERP became more negative from the first to the second half of the experiment, where it reached a similar amplitude as a well-known face. We were unable to directly replicate this finding in our study when we used the original spilt of trials. However, when we applied a different split of trials we observed very similar changes in N250 amplitude. Then, we developed and applied a new two-step explorative-confirmative non-parametric method based on permutation testing to determine the time course of face individuation in individual participants based on single trial N250 amplitudes. We show that the assumption of a steep initial increase of N250 amplitude across multiple presentations of the target face, followed by a plateau, yields plausible results in fitting linear trends for most participants. The transition point from initial acquisition to the plateau phase differed strongly between participants and tended to be earlier when performance in target face recognition was better. Hence, face individuation may be accounted for by a biphasic process of early, fast acquisition, followed by a slower, asymptotic consolidation or maintenance phase. The current approach might be fruitfully applied to further investigations into face individuation and their neural correlates. © 2020, CC BY-NC-ND.

关键词： Face recognition

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Instant MPC for linear systems and dissipativity-based stability analysis

arXiv

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arXiv 2019年

作者： Yoshida, Keisuke Inoue, Masaki Hatanaka, Takeshi Department of Applied Physics and Physico-Informatics Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama Kanagawa223-8521 Japan Department of Systems and Control Engineering Osaka University 2-1 Yamada-oka Suita Osaka565-0871 Japan

This letter is devoted to the concept of instant model predictive control (iMPC) for linear systems. An optimization problem is formulated to express the finite-Time constrained optimal regulation control, like conventional MPC. Then, iMPC determines the control action based on the optimization process rather than the optimizer, unlike MPC. The iMPC concept is realized by a continuous-Time dynamic algorithm of solving the optimization;the primal-dual gradient algorithm is directly implemented as a dynamic controller. On the basis of the dissipativity evaluation of the algorithm, the stability of the control system is analyzed. Finally, a numerical experiment is performed in order to demonstrate that iMPC emulates MPC and to show its less computational burden. Copyright © 2019, The Authors. All rights reserved.

关键词： Model predictive control

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Information support of daily scrum meetings 13

Information support of daily scrum meetings

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13th International Conference on Strategic Management and Its Support by Information systems, SMSIS 2019

作者： Ministr, Jan Pitner, Tomas Danel, Roman Chaplyha, Vyacheslav VSB - Technical University of Ostrava Faculty of Economics Department of Applied Informatics 17. Listopadu 2172/15 Ostrava-Poruba70800 Czech Republic Masaryk University Faculty of Informatics Department of Computer Systems and Communications Botanická 68a Brno Czech Republic Technical and Economic University in Českś Budějovice Faculty of Technology Department of Civil Engineering Okružní 517/10 Českś Budějovice370 01 Czech Republic Lviv National Agrarian University Department Automatic Control and Computer-Integrated Technologies 1 V. Velykoho Str. Dublyany Lviv region80381 Ukraine

ISBN: (纸本)9788024843063

The vast majority of the software developers use the agile framework for project management. Agile approach provides more flexibility and adaption to the changes against classic software development approach. The key methodology of agile approach represents the scrum. The core of scrum management forms sprint, which represents a time shift activity and envelops all other events of scrum. The outcome of the sprint should be the increment in development of the project, which is possible to submit to the customers or the users. The paper maps the possibilities of visualization of the course of individual sprints at everyday meetings of the research team (stand up meetings), which have a decisive influence on the quality of communication of the research team and the overall success of the project. © 2019 VSB-Technical University of Ostrava. All rights reserved.

关键词： Project management

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