Artem Kremlev

dblp:120/8945 · also Artem S. Kremlev · DBLP profile ↗
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17ranked-venue papers
0as first author
6since 2021 · last 2023
0000-0002-7024-3126ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 14 · 4 since 2021Software engineering, systems software and programming languages · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 1
YearPublicationVenuePosition
2023 Finite-Time Feedback Stabilization of Linear Descriptor Systems
abstract
The control design problem for finite-time stabilization of linear descriptor systems is considered. The scheme of control parameters selection is presented by a linear matrix inequalities. Obtained stabilizability conditions are more reliable (linear matrix inequalities are not fragile) than the existing results. The settling time estimate is obtained. The theoretical results are supported by numerical simulations.
Dmitry E. Konovalov, Konstantin Zimenko, Artem Kremlev, Dmitrii Dobriborsci, Alexey A. Margun
CoDIT3
2023 Adaptive Direct Compensation of External Disturbances for MIMO Linear Systems with State-Delay
Van Huan Bui, Alexey A. Margun, Artem Kremlev, Dmitrii Dobriborsci
ICINCO (2)3
2022 Detection and isolation of sensor faults under external disturbances
abstract
The paper considers the problem of sensor faults detection and isolation under external disturbances for a linear multi-output system. A special disturbance observer is used for its value online estimation on the base of input signal and measured output. Adaptive modification provides disturbance generator identification. Disturbance estimates are used for synthesis of plant full state observer. Fault detection is based on the residual bank that consists of differences between plant state estimates and measured outputs. Fault isolation is based on directional residual set. Robustness with respect to the noises, non-regular terms of disturbance and parametric uncertainties is provided by thresholds and directional relationships technique. The simulation results confirm the performance of the proposed approach for the third order plant.
Van Huan Bui, Alexey A. Margun, Artem Kremlev
CoDIT3
2022 Adaptive Fault Detection and Isolation for DC Motor Input and Sensors
Nikita Kolesnik, Alexey A. Margun, Artem Kremlev, Andrei Zhivitskii
ICINCO3
2022 Finite-time Stability Analysis for Nonlinear Descriptor Systems
Nikita Shopa, Dmitry E. Konovalov, Artem Kremlev, Konstantin Zimenko
ICINCO3
2022 Development of a Telegram Bot to Determine the Level of Technological Readiness
Darya I. Suntsova, Viktor A. Pavlov, Zinaida V. Makarenko, Petr P. Bakholdin, Alexander S. Politsinsky, Artem Kremlev, Alexey A. Margun
KES-IDT6
2020 Ensuring Confidentiality of Information When Processing Operational Production Plans in Cloud Services
Radda A. Iureva, Sergey V. Taranov, Alexandr V. Penskoi, Artem Kremlev
ICINCO4
2020 Parameter Estimator for Twin Rotor MIMO System based on DREM Procedure
Nikita Shopa, Dmitry Bazylev, Sergey A. Vrazhevsky, Artem Kremlev
ICINCO4
2020 Protected Control System with RSA Encryption
Danenkov Ilya, Alexey A. Margun, Radda A. Iureva, Artem Kremlev
KES-AMSTA4
2020 Digital Twin Technology for Pipeline Inspection
Radda A. Iureva, Artem Kremlev, Vladislav Subbotin, Daria V. Kolesnikova, Yuri S. Andreev
KES-IDT2
2019 Interdisciplinary Approach to Cyber-physical Systems Training
abstract
In this paper, the authors examine the importance of a transdisciplinary approach to cyber-physical systems training. The article concludes that it is necessary to introduce new educational models that will contribute to the formation of innovative thinking of master students. The use of a multidisciplinary approach in the training of master students is substantiated, and a combined scheme of interdisciplinary and multidisciplinary methods is proposed on the example of the disciplines Cyber-physical systems and technologies. Specialization lies in the fact that not only the available baggage knowledge, but also ways to find their knowledge in a new application, including in non-standard conditions, readiness for self-development and improvement information. The ability of the current educational model to meet the requirements has been established.
Radda A. Iureva, Artem Kremlev, Alexey A. Margun, Sergey M. Vlasov, Sergey D. Vasilkov, Alexandr V. Penskoi, Dmitry E. Konovalov, Pavel Y. Korepanov
ICINCO (2)2
2019 Output Control and Disturbances Compensation using Modified Backstepping Algorithm
abstract
The article deals with a problem of output control for linear systems under unknown mismatched disturbances. This algorithm is based on the modified backstepping method and the auxiliary loop method. The proposed control scheme is a robust approach intended to unknown mismatched disturbances estimation and compensation. Efficiency of the method is verified by computer modelling and practical approbation of the algorithm using a laboratory platform called Twin Rotor MIMO System.
Dmitry E. Konovalov, Sergey A. Vrazhevsky, Igor Furtat, Artem Kremlev
ICINCO (1)4
2019 A Modular Underactuated Gripper with Force Control System
Alexey A. Margun, Dmitry Bazylev, Konstantin Zimenko, Artem Kremlev
ICINCO (2)4
2019 Measures to Design Secure Cyber-Physical Things
Radda A. Iureva, Artem Kremlev, Alexey A. Margun, Sergey M. Vlasov, Andrei S. Timko
KES-IDT (1)2
2019 Stimulation of Horizontally Polarized Transverse Waves with the Help of Electromagnetic-Acoustic Transducer
Radda A. Iureva, Irina A. Tulkova, Alexey A. Margun, Sergey M. Vlasov, Artem Kremlev, Sergey D. Vasilkov, Andrey V. Volkov
KES-IDT (1)5
2016 Robust Output Control Algorithm for a Twin-Rotor Non-Linear MIMO System
abstract
This paper addresses to the problem of a non-linear MIMO systems control. A class of non-linear parameter uncertain systems operating under unknown bounded disturbances is considered. It is assumed, that mathematical model of such system can be decomposed on linear and non-linear dynamics. Proposed control algorithm is based on the method of consecutive compensator. The only required parameter to be known for the controller synthesis is a relative degree of linear part of plant. The effectiveness of the control method is demonstrated experimentally using the laboratory platform named «Twin Rotor MIMO System». The proposed method is compared with standard PID controller. Experimental results show that the transient behaviour of the developed control algorithm provides higher accuracy and performance, especially for the case of model parameters deviation from their nominal values.
Sergey A. Vrazhevsky, Alexey A. Margun, Dmitry Bazylev, Konstantin Zimenko, Artem Kremlev
ICINCO (2)5
2014 Active learning method in "System Analysis and Control" area
abstract
The article describes an active learning method in studying the course "Integrated Systems Design and Control" for the masters program "System Analysis and Control". The method is based on involving of students to acquisition of a new knowledge in learning process, finding optimal solutions supported by practical activities. Strengthening of theoretical knowledge is supposed to be performed through workshops and discussions of the learnt materials. Practical learning is performed within the laboratory practice on a specially designed bench that described in this article.
Dmitry Bazylev, Alexey A. Margun, Konstantin Zimenko, Aleksandr Shchukin, Artem Kremlev
FIE5