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arXiv 2024年

作者： Lyubovitskij, Valery E. Zhevlakov, Alexey S. Anikin, Iurii A. Institut für Theoretische Physik Universität Tübingen Auf der Morgenstelle 14 TübingenD-72076 Germany of ANID Fernández Concha 700 Santiago Chile Bogoliubov Laboratory of Theoretical Physics JINR Dubna141980 Russia Matrosov Institute for System Dynamics and Control Theory SB RAS Lermontov str. 134 Irkutsk664033 Russia Department of Physics Tomsk State University Tomsk634050 Russia

We present detailed analysis of the T-even lepton angular distribution in the Drell-Yan process including γ/Z0 gauge boson exchange and using perturbative QCD based on the collinear factorization scheme at leading order in the αs expansion. We focus on the study of the transverse momentum QT dependence of the corresponding hadronic structure functions and angular coefficients up to next-to-next-to-leading order in the Q2T/Q2 expansion. We analyze QT dependence numerically and compare T-even angular coefficients integrated over rapidity with available data of the ATLAS Collaboration at LHC. Additionally, we present our results for the forward-backward asymmetry and compare it with data. © 2024, CC BY.

关键词： Hadrons

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Axial meson contribution to proton form factors

arXiv

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arXiv 2021年

作者： Korchagin, N. Radzhabov, A. Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China Matrosov Institute for System Dynamics and Control Theory SB RAS Irkutsk664033 Russia Irkutsk State University Irkutsk664003 Russia

The effect of axial meson exchange on extraction of proton electromagnetic form factors in ep scattering is calculated. Taking as an example f1(1285) meson exchange, it is quantitatively shown how it affects Rosenbluth and polarization transfer methods. The contribution of an axial meson is negligible in comparison with the traditional box-type two photon exchange and could not be responsible for difference of form factors extracted by different techniques. However, results support the idea that meson exchange could explain deviation of individual polarizations. © 2021, CC BY.

关键词： Hadrons

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Agent-based approach to hybrid modeling queuing systems 1

Agent-based approach to hybrid modeling queuing systems

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1st International Workshop on Advanced Information and Computation Technologies and systems, AICTS 2020

作者： Feoktistov, A.G. Kostromin, R.O. Basharina, O.Yu. Tchernykh, A. Dmitriev, V.I. Matrosov Institute for System Dynamics and Control Theory SB RAS Lermontov St. 134 Irkutsk664033 Russia Irkutsk State University Karl Marx St. 1 Irkutsk664003 Russia CICESE Research Center Ensenada-Tijuana Highway Ensenada22860 Mexico Ivannikov Institute for System Programming of RAS Alexander Solzhenitsyn st. 25 Moscow109004 Russia South Ural State University Lenin prospect 76 Chelyabinsk454080 Russia

Nowadays, the study of the behavior of social, economic, and technical queuing systems at different stages of their design and operation is a challenge for simulation modeling. The complexity of the dynamic structure of such systems is owing to a number of factors. Among them are a large number of system characteristics and relations between them, the existence of a large spectrum of distribution laws of random events, the need to collect and analyze current data on the system under study, and the presence of various constraints. Moreover, relations can be represented by functional, statistical, ambiguous, or other mappings. Unfortunately, simulation modeling tools are not widespread in designing and applying business processes, unlike other products of information and computation technologies (system of the office administration, warehouse management, etc.). In this regard, we present an approach to developing web-service for simulation modeling of queuing systems. Within the approach, we automate some stages of web-service development and use. To this end, we apply tools that support distributed computing with parameter variations in a heterogeneous environment, which includes virtualized resources. We provide a multi-agent management of computations. The practical use of the tools is shown on the example of developing a web-service for simulation modeling of a typical health and care institution. © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Web services

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Efficient and Simple Gaussian Process Supported Stochastic Model Predictive control for Bioreactors using HILO-MPC

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IFAC-PapersOnLine 2022年第7期55卷 922-927页

作者： Bruno Morabito Johannes Pohlodek Lena Kranert Sebastián Espinel-Ríos Rolf Findeisen Laboratory for System Theory and Automatic Control Otto von Guericke University Magdeburg Germany Analysis and Redesign of Biological Networks Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Control and Cyber-Physical Systems Laboratory TU Darmstadt Germany

Model-based control of biotechnological processes is, in general, challenging. Often the processes are complex, nonlinear, and uncertain. Hence modeling tends to be complex and is often inaccurate. For this reason, non-model-based control strategies developed via fask, bench-scale, or pilot plant experiments are often applied in the biotechnology industry. Model-based control and optimization techniques can increase processes’ performance and automation level, thereby decreasing costs and guaranteeing the desired specifications. These rely on a model of the process to make predictions and optimize the inputs to the plant. To improve the quality of the models, it is often helpful to use combined first principle and data-driven models together in a hybrid modeling approach which increases the model prediction capabilities. The residual uncertainty of the hybrid model should be taken into account in the control level to satisfy the process specifications and constraints. This paper proposes to use a stochastic model predictive control scheme that exploits a hybrid, Gaussian processes-based model. We outline the effectiveness of the stochastic model-based approach in combination with a suitable Kalman filter for state estimation considering an example biotechnological process. Furthermore, we underline that appropriate tools exist that allow the simple application of such methods even for the novice user. To do so, we use an open-source Python package — HILO-MPC, which allows the simple yet efficient formulation and solution of machine learning-supported optimal control and estimation problems.

关键词： Predictive control toolbox machine learning Gaussian process uncertain process biotechnology stochastic model predictive control HILO-MPC

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Identification of the energy system critical elements using the PARMONC library

Identification of the energy system critical elements using ...

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International Conference on Marchuk Scientific Readings 2020, MSR 2020

作者： Edelev, A.V. Marchenko, M.A. Basharina, O.Yu. Melentiev Energy Systems Institute SB RAS Lermontov St. 130 Irkutsk664033 Russia Institute of Computational Mathematics and Mathematical Geophysics SB RAS 6 Ac. Lavrentieva ave. Novosibirsk630090 Russia Novosibirsk State University Novosibirsk-90 2 630090 Russia Matrosov Institute for System Dynamics and Control Theory SB RAS Lermontov St. 134 Irkutsk664033 Russia

In this paper, we presented a Monte Carlo-based approach for vulnerability analyse of energy systems. For high-performance Monte Carlo simulation the PARMONC software library was used. The PARMONC is implemented on high-performance clusters of the Siberian Supercomputer Center. The PARMONC effectively launches parallel stochastic simulation on supercomputers with different architectures. The proposed approach was applied was applied for the identification and ranking the most important elements of a real-world natural gas supply system. © 2021 institute of Physics Publishing. All rights reserved.

关键词： Supercomputers

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The modeling of technological processes of a railway marshalling yard using any logic

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AIP Conference Proceedings 2023年第1期2624卷

作者： A. V. Dudakova N. Y. Goncharova A. L. Kazakov R. S. Bolshakov Irkutsk State Transport University Irkutsk Russia Matrosov Institute for System Dynamics and Control Theory Siberian Branch of the Russian Academy of Sciences Irkutsk Russia

This article is aimed at solving an urgent problem for modern transport science – development of tools to support the modeling of railway transport objects. Since railway transport belongs to the category of so-called “complex systems”, the analytical approach is of little use for carrying out system analysis using methods of mathematical modeling, and it is necessary to use the simulation modeling methods. During the analysis of the subject area and the known approaches used for simulation modeling of complex technical systems, it was found that, firstly, the most convenient in this case is the method of agent-based modeling; secondly, AnyLogic that has a well-developed railway library is the most suitable as a modeling environment. The railway marshalling yard is considered as an object of modeling. The main technological processes are built in the form of blocks of the AnyLogic railway library. The simulation process of the model is visualized and presented in 3D. The offered method is suitable for describing a wide range of systems for freight and passenger transport that is expected to be implemented in the future.

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Stability of an Interval Family of Differential-Algebraic Equations with Variable Coefficients

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Journal of Mathematical Sciences (United States) 2019年第2期239卷 214-231页

作者： Shcheglova, A.A. Kononov, A.D. Matrosov Institute for System Dynamics and Control Theory SB RAS 134 Lermontov St Irkutsk 664033 Russian Federation

We consider a linear nonstationary system of ordinary differential equations with interval coefficients which is not solvable with respect to the derivative of the unknown vector-valued function for any matrix coefficients in a given interval family. We obtain conditions sufficient for the preservation of the internal structure of the system. Under conditions guaranteeing the structure preservation, we obtain sufficient and necessary robust stability conditions. A variable rank of matrix coefficients and an arbitrary high unsolvability index are allowed. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

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Workbench for vulnerability analysis of Vietnam energy sector 3

Workbench for vulnerability analysis of Vietnam energy secto...

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3rd Scientific-Practical Workshop Information Technologies: Algorithms, Models, systems, ITAMS 2020

作者： Edelev, A.V. Fereferov, E.S. Hmelnov, A.E. Melentiev Energy Systems Institute of Siberian Branch of SB RAS Lermontov Str. 130 Irkutsk664033 Russia Matrosov Institute for System Dynamics and Control Theory of SB RAS 134 Lermontov St. Irkutsk664033 Russia

The paper addresses the problem of supporting research of the Vietnam energy sector vulnerability. The vulnerability study is understood as search for system weak points. A mathematical model has been developed to describe the energy sector of Vietnam. The model takes into account the characteristics and constraints of all objects of the energy sector: suppliers, consumers and the transport system. To study the vulnerability of the energy sector and make decisions, we have created a workbench that allows simulating increased loads and calculating the consequences. Specification-based database application development technology was applied to create the workbench. This technology allows you to quickly develop applications that provide interaction with databases and digital maps, as well as support interaction with external software modules. The main advantage of the proposed workbench is its flexibility and applicability at all stages of the study of the Vietnam energy sector vulnerability starting from gathering the energy operation and development information and ending with evaluation of satisfying demand in energy. © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Decision support systems

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Stability of Difference Scheme for a Semilinear Differential Algebraic system of Index (k, 0)

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Journal of Mathematical Sciences (United States) 2019年第2期239卷 172-184页

作者： Svinina, S.V. Matrosov Institute for System Dynamics and Control Theory SB RAS 134 Lermontov St Irkutsk 664033 Russian Federation

We consider a semilinear differential-algebraic system of partial differential equations of index (k, 0). We numerically solve this system by applying the spline-collocation method based on splitting the matrix pencil. The method has high accuracy coinciding with the smallest order of the approximating spline. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

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DC-DC Converters Optimization in Case of Large Variation in the Load

arXiv

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arXiv 2024年

作者： Domyshev, Alexander Chistyakova, Elena Dreglea, Aliona Sidorov, Denis Liu, Fang Melentiev Energy Systems Institute Siberian Branch Russian Academy Sciences Irkutsk Russia Harbin Institute of Technology Harbin China Irkutsk National Research Technical University Irkutsk Russia Institute for System Dynamics and Control Theory Siberian Branch Russian Academy Sciences Irkutsk Russia Department of Automation Central South University Changsha China

The method for controlling a DC-DC converter is proposed to ensures the high quality control at large fluctuations in load currents by using differential gain control coefficients and second derivative control. Various implementations of balancing the currents of a multiphase DC-DC converter are discussed, with a focus on achieving accurate current regulation without introducing additional delay in the control system. Stochastic particle swarm optimization method is used to find optimal values of the PID controller parameters. An automatic constraint-handling in optimization are also discussed as relevant techniques in the *** Codes 34H05 34A09 © 2024, CC BY.

关键词： Stochastic systems

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