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arXiv 2017年

作者： Dorokhov, A.E. Kochelev, N.I. Martynenko, A.P. Martynenko, F.A. Radzhabov, A.E. Joint Institute of Nuclear Research BLTP Moscow region Dubna141980 Russia Institute of Modern Physics of Chinese Academy of Sciences Lanzhou730000 China Joint Institute of Nuclear Research BLTP Moscow region Dubna141980 Russia Samara University Samara443086 Russia Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China Matrosov Institute for System Dynamics and Control Theory SB RAS Irkutsk664033 Russia

The contribution from the axial-vector meson exchange to the potential of the muon-proton interaction in muonic hydrogen induced by anomalous axial-vector meson coupling to two photon state is calculated. It is shown that such contribution to the hyperfine splitting in muonic hydrogen is large and important for a comparison with precise experimental data. In the light of our result, the proton radius"puzzle" is discussed. Copyright © 2017, The Authors. All rights reserved.

关键词： Bosons

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Erratum to Fourier diffraction theorem for the tensor fields

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Applications of Mathematics 2024年第2期69卷 287-287页

作者： Balandin, Alexander Leonidovich V.M. Matrosov Institute of System Dynamics and Control Theory Siberian Branch of the Russian Academy of Sciences Irkutsk-33 Russia

The product q · q in Section 4 and Appendix should be replaced by qq.

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Technique for modelling flooding zones of coastal areas in the cascade of hydroelectric power stations on the Angara river

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IOP Conference Series: Earth and Environmental Science 2021年第1期629卷

作者： A S Gachenko A E Hmelnov Matrosov Institute for System Dynamics and Control Theory SB RAS Irkutsk Russia Irkutsk Scientific Center SB RAS Irkutsk Russia

This article presents the method for modelling underwater three-dimensional topography and it's combining with terrain under conditions of incomplete source data. The technique for constructing 3D elevation model was tested within the research projects conducted in matrosov institute for system dynamics and control theory Siberian Branch of the Russian Academy of Sciences in collaboration with colleagues from other research institutes of Irkutsk Scientific Center under the comprehensive studies of Lake Baikal, the Angara River and the Bratsk Reservoir. We present an algorithm for combining underwater topography with terrain based on heterogeneous source data using the Delaunay triangulation. The combining yields a high-quality 3D elevation model. This model can be used to make forecasts of the changes in the coastlines of reservoirs, which are associated with water discharges from hydroelectric power stations. The described technique was used to solve some practical problems and showed its effectiveness. To combine the data on the terrain and underwater topography, we developed a special software using the Delaunay triangulation algorithms. For data layers, their roles were indicated during the triangulation. Layers contained the information about terrain, watermarks, contours of the coastline, and underwater topography. For underwater topography, we used the information about the marks of the water edge. Based on these data, we built an additional triangulation, from which we subsequently obtained the information about heights because contours of coastlines are confined to heights, and depths are measured relative to heights. As a result of this study, we processed some settlements and estimated possible flooding.

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Hierarchical event-based control of multi-robot systems in unstructured environments

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Journal of Physics: Conference Series 2021年第1期1864卷

作者： I Bychkov S Ulyanov N Nagul A Davydov M Kenzin N Maksimkin Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences 134 Lermontova str. Irkutsk 664033 Russia

An essential requirement for achieving a high level of performance, autonomy, and reliability of a multi-robot system performing joint long-term operations in an unstructured environment is an advanced control system. In general, the robot's control system is designed to be hierarchical and consists of several subsystems. To unify the interaction of individual components and reduce the load on computing and communication devices, we use the event-based methodology at different levels of the control system. In the paper, we demonstrate how this methodology can be applied to solve four challenging problems in robotics: cooperative formation control, path planning, missions scheduling, and action planning.

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Periodic solutions of a phase-field model with hysteresis

arXiv

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arXiv 2020年

作者： Bin, Chen Timoshin, Sergey A. Fujian Province University Key Laboratory of Computational Science School of Mathematical Sciences Huaqiao University Quanzhou362021 China Fujian Province University Key Laboratory of Computational Science School of Mathematical Sciences Huaqiao University Quanzhou362021 China Matrosov Institute for System Dynamics and Control Theory Russian Academy of Sciences Lermontov str. 134 Irkutsk664033 Russia

In the present paper we consider a partial differential system describing a phase-field model with temperature dependent constraint for the order parameter. The system consists of an energy balance equation with a fairly general nonlinear heat source term and a phase dynamics equation which takes into account the hysteretic character of the process. The existence of a periodic solution for this system is proved under a minimal set of assumptions on the curves defining the corresponding hysteresis region. Copyright © 2020, The Authors. All rights reserved.

关键词： Hysteresis

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German-Russian astroparticle data life cycle initiative

arXiv

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arXiv 2019年

作者： Haungs, Andreas Bychkov, Igor Dubenskaya, Julia Fedorov, Oleg Heiss, Andreas Kang, Donghwa Kazarina, Yulia Korosteleva, Elena Kostunin, Dmitriy Kryukov, Alexander Mikhailov, Andrey Nguyen, Minh-Duc Polgart, Frank Polyakov, Stanislav Postnikov, Evgeny Shigarov, Alexey Shipilov, Dmitry Streit, Achim Tokareva, Victoria Wochele, Doris Wochele, Jürgen Zhurov, Dmitry Karlsruhe Institute of Technology IKP Karlsruhe76021 Germany Matrosov Inst. f. System Dynamics and Control Theory Irkutsk664033 Russia Irkutsk State University Irkutsk664003 Russia Lomonosov Moscow State University SINP Moscow119991 Russia Irkutsk State University Applied Physics Institute Irkutsk664003 Russia Karlsruhe Institute of Technology SCC Karlsruhe76021 Germany DESY Zeuthen15738 Germany

A data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. For astroparticle physics a DLC is particularly important due to the geographical and content diversity of the research field. A dedicated and experiment spanning analysis and data centre would ensure that multi-messenger analyses can be carried out using state-of-the-art methods. The German-Russian Astroparticle Data Life Cycle Initiative (GRADLCI) is a joint project of the KASCADE-Grande and TAIGA collaborations, aimed at developing a concept and creating a DLC prototype that takes into account the data processing features specific for the research field. An open science system based on the KASCADE Cosmic Ray Data Centre (KCDC), which is a web-based platform to provide the astroparticle physics data for the general public, must also include effective methods for distributed data storage algorithms and techniques to allow the community to perform simulations and analyses with sophisticated machine learning methods. The aim is to achieve more efficient analyses of the data collected in different, globally dispersed observatories, as well as a modern education to Big Data Scientist in the synergy between basic research and the information society. The contribution covers the status and future plans of the initiative. Copyright © 2019, The Authors. All rights reserved.

关键词： Data acquisition

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New computational results with an exact knapsack separation procedure for structured Binary Integer Programming problems

New computational results with an exact knapsack separation ...

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International Conference on Modeling, Simulation and Applied Optimization

作者： Maurizio Boccia Said Hanafi Igor Vasilyev Engineering Department University of Sannio Benevento Italy University of Valenciennes F-59313 Valenciennes cedex 9 France Institute for System Dynamics and Control Theory Siberian Branch of Russian Academy of Sciences Lermontov 664033 Irkutsk Russia

ISBN: (纸本)9781467358125

In this paper we report new computational results with an approach based on the generation of general cutting planes for several classes of Binary Integer Programming (BIP) Problems such as Generalized Assignment, Multi-Dimensional Knapsack, Capacitated P-median and Capacitated Network Location. These problems are characterized by a formulation including a great number of knapsack constraints, which, in general make these problems very hard to solve. The state of the art on these problems requires to use approaches based on Lagrangean Relaxation or decomposition approaches like Dantzig-Wolfe and Column Generation techniques. In this paper we present an approach based on the generation of general cutting planes of the polytope associated with each knapsack constraints. Computational experience on a wide set of benchamrk instances is carried out.

关键词： Location techniques decomposition Integer Programming decomposition degradation Technology state of the art CUTTING PLANES Polytopes Binary plane

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A lobster-inspired multi-robot control strategy for monitoring non-stationary concentration fields

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Journal of Physics: Conference Series 2021年第1期2099卷

作者： I V Bychkov A A Tolstikhin S A Ulyanov Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences 134 Lermontova str. Irkutsk 664033 Russia

We propose a new lobster-inspired chemotaxis decentralized control strategy for monitoring a non-stationary concentration field using a team of nonholonomic mobile robots. The task of the team is to locate and trace the movement of the point (or points) with the highest field value (i.e. source), provided that the robots are not aware of the dynamics of the field and can only periodically sample the field at their locations. As an example of the concentration field we consider a population of biological species modeled by a self-organizing multi-agent system with agents acting as individuals of the population in accordance with some flocking rules. The proposed strategy combines the lobsters' plume localization behavior and flocking mechanisms to efficiently solve the problem even with a small group of robots. Simulations and experimental works on physical unicycle robots are performed to validate the efectiveness of the approach for the cases of non-stationary fields.

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Justification of the reliability and survivability properties of complex mechanical systems based on the self-organization principle

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AIP Conference Proceedings 2020年第1期2315卷

作者： A. F. Berman Matrosov Institute for System Dynamics and Control Theory Siberian Branch of the Russian Academy of Sciences 134 Lermontova St. Irkutsk 664033 Russia

This paper considers further development of the method for pre-design studies aimed at improving the reliability, survivability, and safety of complex mechanical systems, assembly units, and parts in accordance with the criteria of strength and resource. The Self-Organization Principle is represented as a combination of a heuristic hierarchical transdisciplinary model and metaheuristic and heuristic rules that automatically create a decision algorithm. The algorithm is determined by the object of study, by the chosen goal, and by the scientific and industrial description of the tasks. The representation of tasks as metaheuristics and heuristics allows for the use of methods and means for artificial intelligence, in particular, expert systems. Metaheuristics and heuristics are compiled by domain experts with further incorporation into the knowledge bases of the corresponding hierarchical complex of Expert systems and Computational Modules.

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Methods and tools of synthesis for linear regulator in binary dynamic systems: A logical approach

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AIP Conference Proceedings 2018年第1期2046卷

作者： Gennady Oparin Vera Bogdanova Sergey Gorsky Anton Pashinin Matrosov Institute for System Dynamics and Control Theory Siberian Branch of Russian Academy of Sciences 134 Lermontov str. Irkutsk 664033 Russia

We offer a new logical method for a parametric synthesizing linear static regulator in binary dynamic systems. To describe the dynamics in the general case of a nonlinear object and linear regulator state equations are used. The required dynamics property (in our case the property of stability) specification of a closed system is given in the formal logic language. In this formulation, the synthesis problem is reduced to the qualitative analysis problem - the verification of the truth of the quantified Boolean formula with the simultaneous search for the feedback matrix. The proposed method allows the natural parallelization based on data and high scalability with increasing the problem dimension in case of it is implemented in a high-performance computing environment. We develop a service-oriented solver, including the tools intended to automatically create a Boolean model of the original problem and solve the synthesis problem of a linear regulator using this model.

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