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检索条件"机构=Inst. for Syst. Dynamics and Control"

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Adaptation of the Educational Process Using a Rule-based syst.m 8

Adaptation of the Educational Process Using a Rule-based Sys...

引用

8th International Conference on Information Technology and Nanotechnology, ITNT 2022

作者： Shabalin, Alexei Nikolaychuk, Olga Irkutsk State University Matrosov Inst. for Syst. Dynam. and Control Theory of Siberian Branch of Russian Academy of Sciences Irkutsk Russia Matrosov Inst. for Syst. Dynam. and Control Theory of Siberian Branch of Russian Academy of Sciences Irkutsk Russia

ISBN: (数字)9781665485715

ISBN: (纸本)9781665485715

Currently, adaptive educational syst.ms are actively developing. The paper considers the information models of the course and the student proposed by the authors, as well as the algorithm for constructing individual educational trajectories based on these models and the adaptation mechanism using the rule-based approach. This approach has been tested within the framework of the electronic educational environment called Forlabs © 2022 IEEE.

关键词： Computer aided inst.uction

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Approximate methods of the solution of an optimal control problem on an operators network 13

Approximate methods of the solution of an optimal control pr...

引用

13th Multiconference on control Problems, MCCP 2020

作者： Baturin, V.A. Sizykh, V.N. Inst. for Syst. Dynam. and Control Theory of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia Irkutsk State Railway University Irkutsk Russia

The mathematical models describing behaviour of an operators network, and in particular multi-stage processes, are quite common in practice. In this work, the authors propose approximate methods for solving the control problem with parameters on the network of operators. They are based on the methodology developed in works [1-4]. © Published under licence by IOP Publishing Ltd.

关键词： Approximation theory

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

A lobster-inspired multi-robot control strategy for monitori...

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International Conference on Marchuk Scientific Readings 2021, MSR 2021

作者： Bychkov, I.V. Tolstikhin, A.A. Ulyanov, S.A. Matrosov Inst. for Syst. Dynam. and Control Theory of Siberian Branch of Russian Academy of Sciences 134 Lermontova str. Irkutsk664033 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 syst.m 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 effectiveness of the approach for the cases of non-stationary fields. © 2021 inst.tute of Physics Publishing. All rights reserved.

关键词： Multi agent syst.ms

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Hierarchical event-based control of multi-robot syst.ms in unstructured environments 13

Hierarchical event-based control of multi-robot systems in u...

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13th Multiconference on control Problems, MCCP 2020

作者： Bychkov, I. Ulyanov, S. Nagul, N. Davydov, A. Kenzin, M. Maksimkin, N. Matrosov Inst. for Syst. Dynam. and Control Theory of Siberian Branch of Russian Academy of Sciences 134 Lermontova str. Irkutsk6-64033 Russia

An essential requirement for achieving a high level of performance, autonomy, and reliability of a multi-robot syst.m performing joint long-term operations in an unstructured environment is an advanced control syst.m. In general, the robot's control syst.m is designed to be hierarchical and consists of several subsyst.ms. 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 syst.m. 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. © Published under licence by IOP Publishing Ltd.

关键词： Multipurpose robots

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Mutriku's Offshore Wave Power Plant Capture Chamber Model Validation

Mutriku's Offshore Wave Power Plant Capture Chamber Model Va...

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Midwest Symposium on Circuits and syst.ms (MWSCAS)

作者： Aitor J. Garrido Amparo Villasante Izaskun Garrido Dept. Aut. Control and Syst. Eng. Faculty of Engineering of Bilbao University of the Basque Country (UPV/EHU) Automatic Control Group - ACG. Inst. of Research and Development of Processes - IIDP. Bilbao Spain Automatic Control Group University of the Basque Country (UPV /EHU) Bilbao Spain

ISBN: (数字)9798350387179

ISBN: (纸本)9798350387186

The strategic vision outlined in the EU Energy Road Map suggests that, by the year 2050, the use of ocean wave energy could fulfill up to 15% of the European Union's energy demands, while allowing a substantial reduction in carbon dioxide emissions, estimated at 136 million metric tons per megawatt-hour. The Spanish Renewable Energies Plan echoes this vision, placing a particular emphasis on the role of wave energy within Spain's energy portfolio. In this milieu, Oscillating Water Column (OWC) converters are emerging as a leading technology for the conversion of wave energy, able to operate from both terrestrial and marine platforms. This study introduces a detailed analytical model for the wave capture chamber of a static OWC wave energy generator, which has been specifically developed and parameterized for the Mutriku Marine Offshore Wave Power Plant (Mutriku's MOWC), located on the coastline of the Basque Country in Spain. The validation of the proposed model is conducted through the utilization of in-situ measured wave input data, alongside the experimental power output data procured from the operational plant. This dual-faceted validation approach ensures the robustness and applicability of the model in real-world scenarios.

关键词： Renewable energy sources Power measurement Wave power Roads Sea measurements Predictive models Data models

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The Current Design and Implementation of the AstroDS Data Aggregation Service 4

The Current Design and Implementation of the AstroDS Data Ag...

引用

4th International Workshop on Data Life Cycle in Physics, DLC 2020

作者： Nguyen, Minh-Duc Kryukov, Alexander Mikhailov, Andrey Skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State University Moscow Russia Matrosov Inst. for Syst. Dynam. and Control Theory of Siberian Branch of Russian Academy of Sciences Irkutsk Russia

AstroDS is a distributed storage for Cosmic Ray Astrophysics. The primary goal of Astro DS is to gather data measured by the in-struments of various physical experiments such as TAIGA, TUNKA, KASCADE into global storage and provide the users with a standard-ized user-friendly interface to search for the datasets that match certain conditions. AstroDS consists of a set of distributed microservices compo-nents that communicate with each other through the Internet via REST API. The core component of AstroDS is the Data Aggregation Service that orchestrates other components to provide access to data. The de-velopment process of AstroDS started in 2019. This paper describes the current design and implementation of the Data Aggregation Service and also the benefits it brings to the astrophysical community in the early. © 2020 CEUR-WS. All rights reserved.

关键词： Data acquisition

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Construction of an Investment Portfolio Based on Stochastic Modeling 15

Construction of an Investment Portfolio Based on Stochastic ...

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15th International Conference Management of Large-Scale syst.m Development, MLSD 2022

作者： Ivanyuk, Vera Shuvalov, Konstantin Goroshnikova, Tatiana Tereliansky, Pavel Levchenko, Kirill Sunchalin, Andrew Department of Data Analysis and Machine Learning Financial University under the Government of the Russian Federation Moscow Russia Bauman Moscow State Technical University Department of Higher Mathematics Moscow Russia Lab. of Mgmt. of the Devmt. of Large-scale Syst. V.A. Trapeznikov Inst. of Control Sciences of Ras Moscow Russia Financial University under the Government of the Russian Federation Faculty of International Economic Relations Moscow Russia Plekhanov Russian University of Economics Moscow Russia Financial University under the Government of the Russian Federation Department of Mathematics Moscow Russia

The aim of the work is a comparative analysis of investment portfolios built based on stochastic modeling. We obtained actual stock price data of 80 Russian companies traded on the Moscow Stock Exchange for the last s... 详细信息

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

关键词： Stochastic syst.ms

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Probabilistic Data Analysis in Non-Stationary Processes Forecasting 2

Probabilistic Data Analysis in Non-Stationary Processes Fore...

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2nd IEEE International Conference on syst.m Analysis and Intelligent Computing, SAIC 2020

作者： Bidyuk, Petro Polozhaenko, Sergii Kuznietsova, Nataliia Levenchuk, Liudmyla Inst. for Appl. Syst. Anal. Natl. Tech. Univ. of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Kyiv Ukraine Odesa National Polytechnic University Department of Computerized Control Systems Odesa Ukraine

ISBN: (纸本)9781728190822

A modified approach to the Bayesian data analysis is proposed and an original methodology for identifying and accounting the possible uncertainties that exist in modelling and predicting non-stationary processes problems is developed. A new methodology for the combined model implementation is considered. It includes the following elements: the Bayesian data processing method, the optimal data processing filter, regression models for the statistical data formally describing and predicting the conditional variance, and the probabilistic Bayesian network model for predicting non-stationary processes. The conducted computational experiments for the financial market indicators forecasting showed that the quality of short-term volatility forecasts is significantly improved due to the optimal filtering procedure and the right choice of model structure. © 2020 IEEE.

关键词： Bayesian networks

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Mathematical Models and Algorithms for Forecasting National Security in Training Situational Centers 13

Mathematical Models and Algorithms for Forecasting National ...

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13th International Conference Management of Large-Scale syst.m Development, MLSD 2020

作者： Yandybaeva, Natalya Rezchikov, Alexander Gorschkov, Evgeny Bogomolov, Alexey Kuschnikov, Vadim Balakovo Br. of the Russ. Acad. of Natl. Econ. and Administration under the President of the Russia Department of Gumanities and Natural Sciences Balakovo Russia V. A. Trapeznikov Institute of Control Sciences of Ras Laboratory no.33 Moscow Russia Russian Academy of Sciences Lab. of Syst. Prob. of Contr. and Automat. in Mech. Eng. Inst. of Precision Mechanics and Control Saratov Russia Yuri Gagarin State Technical University Saratov Scientific Center Ras Department of Applied Information Technologies Saratov Russia

ISBN: (纸本)9781728110943

A mathematical model is presented, developed based on a syst.m dynamics model, for carrying out an express analysis of the state and forecasting the national security of states. An algorithm for using the developed mathematical support in assessing the state of national security of states is presented. The method of training specialists in the field of national security in training situational centers is shown. © 2020 IEEE.

关键词： National security

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Robustness Properties of a Nonadaptive l1-Optimal Longitudinal Autopilot Applied to Some UAV with Time-Varying Parameters 5

Robustness Properties of a Nonadaptive l1-Optimal Longitudin...

引用

5th IEEE International Conference Actual Problems of Unmanned Aerial Vehicles Developments, APUAVD 2019

作者： Azarskov, Valerii N. Zhiteckii, Leonid S. Bezkorovainyi, Yurii M. Manziuk, Maksym S. Solovchuk, Klavdiia Yu. Pilchevsky, Andrii Yu. National Aviation University Aerospace Control Systems Dept. Kiev Ukraine Int. Centre of Inform. Tech. Syst. Institute of Cybernetics Kiev Ukraine Inst. of IT Mechanotronics Poltava National Technical Yuri Kondratyuk University Poltava Ukraine

ISBN: (纸本)9781728125923

The robustness analysis of a digital autopilot for controlling the longitudinal motion of some UAV with time-varying parameters is addressed in this paper. As an example of such UAV, the guided missile controlled by an internal guidance syst.m is considered. The autopilot represents the two-circuit feedback discrete-time control syst.m containing the conventional P and PI type controllers. They are needed to stabilize the pith attitude and pith rate of an UAV whose flight conditions (the altitude and the airspeed) change in time. It is assumed that its parameters are known for each fixed flight condition. Using the so-called l1-optimization approach, the three parameters of P and PI controllers for different conditions are determined. The performance of the closed-loop control syst.m with these controllers having time-invariant parameters are chosen for one of fixed flight conditions is studied by exploiting the numerical tool. It is established that the longitudinal autopilot which is the l1-optimal for some fixed flight condition can also be robust stable in a situation where they become time-varying. © 2019 IEEE.

关键词： Aircraft control

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