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2020 Sustainable Development and Smart Management, ENERGY-21

作者： Kazakov, Alexander Lempert, Anna Stolbov, Alexander Matrosov Institute for System Dynamics and Control Theory of Sb Ras Lermontov st. 134 Irkutsk664033 Russia

The paper considers the main ideas of proposed computational technology for scenario modeling and forecasting the development of the national fuel and energy complexes of Russia and Mongolia, regarding to the intercountry trade in fuel and energy resources. The proposing technology exploits the ideas of multi-agent systems (MASs) and agent-based simulation models (ABSMs) as they can act as unifying means for different types of decision-making methods by distributed objects. Methodological principles and architecture for ABSM of the national fuel and energy complexes of Russia and Mongolia were proposed. The implementation issues of the model in the Adskit software tool is discussed. The problem of laying routes of extended energy objects is also considered. Based on the principles of geometric optics the author's solution algorithm in the form of a special case of the variational problem was proposed to deal with this problem. The application of MAS and ABSM paradigms for forecasting and evaluating the state of the fuel and energy sector in Russia and Mongolia allows one to organize a step-by-step research of the energy system with the gradual development of the model: Increasing the types of objects and agents;improving decision-making algorithms, including those based on mathematical models;creating complex scenarios. The technology forms methodological basis for supporting decision-making process of evaluation the prospective variants of bilateral energy cooperation of Russia and Mongolia and related project effectiveness. © The Authors, published by EDP Sciences, 2020.

关键词： Fuels

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

DC-DC Converters Optimization in Case of Large Variation in ...

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第43届中国控制会议

作者： Alexander Domyshev Elena Chistyakova Aliona Dreglea Denis Sidorov Fang Liu Energy Systems Institute Siberian Branch Russian Academy Sciences Irkutsk National Research Technical University Institute for System Dynamics and Control Theory Siberian Branch Russian Academy Sciences

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

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 field.

关键词： DCDC Optimization Load Large Fluctuations Stabilization Rauss-Hurwitz criterion

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Positively Constructed Formulas-Based Approach to Mobile Robot control Using DES

Positively Constructed Formulas-Based Approach to Mobile Rob...

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Proceedings of the International Convention MIPRO

作者： Artem Davydov Aleksandr Larionov Nadezhda Nagul Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia

The paper describes the principles of the implementation of supervisors for discrete event systems, designed with the help of automatic theorem proving in the calculus of positively constructed formulas. The main advantage of the proposed approach is the ability to carry out complex evaluations of events on the base of the current state of the system. Computable predicates are also may be employed, definitions of which are based on the data coming from external sources. As an illustrative example a mobile robot movement in an unknown environment is considered.

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Soft sensor for monitoring dynamic changes in cell composition 9

Soft sensor for monitoring dynamic changes in cell compositi...

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9th IFAC Conference on Foundations of systems Biology in Engineering, FOSBE 2022

作者： Espinel-Ríos, Sebastián Morabito, Bruno Bettenbrock, Katja Klamt, Steffen Findeisen, Rolf 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 Germany Control and Cyber-Physical Systems Laboratory TU Darmstadt Germany

ISBN: (纸本)9781713867890

Precise and accurate online monitoring methods are needed to enable smart biomanufacturing and automation. Most of the sensors available focus on process parameters such as metabolite and dissolved gas concentrations, cell density or viability, among other variables like pH, temperature, etc. In this work, we develop a soft sensor algorithm to estimate the cell composition online, a very important aspect often overlooked in the bioprocess monitoring literature. Our strategy is based on full information estimation, an optimization-based estimator that takes into account the dynamics of the cell metabolism and considers all the available measurements from the beginning of the process, thus it has a memory effect. Being able to track dynamic changes in cell composition can open the door to promising applications, e.g., predictive control and automation of biosystems. As a case study, we consider the Escherichia coli's metabolism growing on glycerol under different levels of oxygen supply. We compare the performance of our soft sensor method against resource balance analysis, a previously proposed estimator based on steady-state assumptions. Overall, the presented full information estimator was able to track the dynamic changes in cell composition significantly more accurately. We also discuss how our estimation strategy can be transformed into a moving horizon estimation, where only the available measurements in a fixed and moving window are considered, thereby reducing possible computational burdens. Copyright © 2022 The Authors.

关键词： Metabolism

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Domain-oriented specialization tools for knowledge-based systems development platform 3

Domain-oriented specialization tools for knowledge-based sys...

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

作者： Pavlov, A.I. Stolbov, A.B. Matrosov Institute for System Dynamics and Control Theory Siberian Branch of the Russian Academy of Sciences 134 Lermotov st. Irkutsk Russia

New details of the implementation of the data representation and editing component of the knowledge-based systems development platform is proposed in the paper. The two modes of considered component is described. The typical component structure along with the core to client component parts communication issues are presented. The main UI control elements are listed and grouped according to the criteria of the number of efforts that applied developers spend in the course of making UI. On the top of controls from the first group considered component provides user interface for data control component and implements unified user interface for any valid component of the platform. The second group is responsible for user interface of the platform as a whole and also for problem-oriented functions of the core components (for example, rule or workflow editors). The third group relies on a predefined set of parameterized typical database manipulations and supports the applied developer in the process of UI customization. The implementation of two techniques is considered on the case of the conceptual model design component extension. © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： User interfaces

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Algorithms for computation of reversible integer transform from linear float transform and minimization of rounding errors 3

Algorithms for computation of reversible integer transform f...

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

作者： Hmelnov, Alexei Matrosov Institute for System Dynamics and Control Theory Siberian Branch of Russian Academy of Sciences 134 Lermontov st Irkutsk Russia

Various compression algorithms use linear transforms to represent data vectors in different coordinate systems, where they can be compressed better. The matrices usually have oat coe cients, and the data vectors are integer, so some rounding is required. And to make the compression lossless it is required to make these transforms reversible, i.e. to be able to exactly restore the original vectors from the results of their transform. In this article we'll consider a straightforward algorithm for nding the decomposition of linear transform matrix and the approaches for estimation of the mean square approximation error and for nding the optimal decomposition, which minimizes the error. © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Mean square error

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Digital monitoring of the ecosystem of Lake Baikal

Digital monitoring of the ecosystem of Lake Baikal

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2019 All-Russian Conference "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes", SDM 2019

作者： Bychkov, Igor V. Ruzhnikov, Gennadii M. Khmelnov, Alexey E. Fedorov, Roman F. Madzhara, Taras I. Matrosov Institute of system dynamics and control theory SB RAS Irkutsk Russia Irkutsk Scientific Center SB RAS Irkutsk Russia

The urgency and directions of creation and development of integrated digital monitoring and assessment of changes in the ecosystem of Lake Baikal and its coastal area using large amounts of multi-format space-time thematic data and knowledge, service-oriented paradigm, OGC standards, Web-services, as well as the introduction of modern information and telecommunication technologies are considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Ecosystems

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Event-Based Cooperative control Framework for Robot Teams

Event-Based Cooperative Control Framework for Robot Teams

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1st International Conference on Robotics and Rehabilitation Intelligence, ICRRI 2020

作者： Bychkov, Igor Ul’yanov, Sergey Nagul, Nadezhda Davydov, Artem Kenzin, Maksim Maksimkin, Nikolay Matrosov Institute for System Dynamics and Control Theory at Siberian Branch of Russian Academy of Sciences 134 Lermontova Street Irkutsk Russia

ISBN: (纸本)9789813349315

Efficient and autonomous execution of large-scale missions using a group of robots implies the use of an advanced control system, usually consisting of multiple subsystems arranged in a hierarchy. For the purpose of unification of interaction of separate subsystems, an event-based cooperative control framework for robot teams is developed. In the paper, we demonstrate how this framework can be used in solving challenging problems in robotics: path-following problem, real-time path-planning problem, group routing problem, and action-planning problem. A novel approach to formalization and analysis of logic discrete event systems, which are the main component of the framework, based on logic calculus and automatic theorem proving is also briefly described. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Motion planning

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Hamiltonian formalism for Fermi excitations in a plasma with a non-Abelian interaction

arXiv

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arXiv 2021年

作者： Adolfovich, Yuri Markov Markova, M.A. Yu. Markov, N. Matrosov Institute for System Dynamics and Control Theory Siberian Branch Russian Academy of Sciences Irkutsk664033 Russia

The Hamiltonian theory for the collective longitudinally polarized colorless gluon excitations (plasmons) and for collective quark-antiquark excitations with abnormal relation between chirality and helicity (plasminos) in a high-temperature quark-gluon plasma (QGP) is developed. For this purpose, Zakharov’s formalism for constructing the wave theory in nonlinear media with dispersion is used. A generalization of the Poisson superbracket involving both commuting and anticommuting variables to the case of a continuous medium is performed and the corresponding Hamilton equations are presented. The canonical transformations including simultaneously both bosonic and fermionic degrees of freedom of the collective excitations in QGP are discussed and a complete system of the canonicity conditions for these transformations is written out. An explicit form of the effective fourth-order Hamiltonians describing the elastic scattering of plasmino off plasmino and plasmino off plasmon is found and the Boltzmann type kinetic equations describing the processes of elastic scattering are obtained. A detailed comparison of the effective amplitudes defined within the (pseudo)classical Hamiltonian theory, with the corresponding matrix elements calculated early in the framework of high-temperature quantum chromodynamics in the so-called hard thermal loop approximation is performed. This enables one to obtain, in particular, an explicit form of the vertex and coefficient functions in the effective amplitudes and in the canonical transformations, correspondingly, and also to define the validity of a purely pseudoclassical approach in the Hamiltonian description of the dynamics of a quark-gluon plasma. The problem of determining the higher-order coefficient functions in the canonical transformations of fermionic and bosonic normal variables is considered. With the help of the coefficient functions obtained, the totally symmetric effective amplitudes of the elastic scattering of plasmino of

关键词： Quantum theory

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Modifications of genetic, biogeography and particle swarm algorithms for solving multiextremal optimization problems

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AIP Conference Proceedings 2023年第1期2700卷

作者： Pavel Sorokovikov Alexander Gornov Matrosov Institute for System Dynamics and Control Theory of SB RAS Irkutsk Russia

The article offers the developed modifications of multiagent nature-inspired algorithms for finding the absolute extremum of multimodal objective functions. The proposed algorithms are based on hybridization with the quasi-Newton method for local descent at each iteration. Variants of genetic, biogeography, and particle swarm methods proposed by the authors are used for global search. We have performed the numerical comparison of implemented algorithms employing a representative set of multiextremal functions. The achieved research results confirm the efficiency of the proposed algorithms and the possibility of constructing computational schemes, which can be the foundation for effective methods for studying global search problems.

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