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Robust state-feedback H_\infty control for discrete-time descriptor systems with norm-bounded parametric uncertainties
International Journal of Systems Science. 2019. Vol. 50. No. 6. P. 1303–1312.
Belov A., Andrianova O.
This paper deals with a state feedback H ∞ control problem for linear time-invariant discrete-time
descriptor systems with norm-bounded parametric uncertainties. To this end, bounded real lemma
(BRL) is extended on the class of uncertain descriptor systems. The control design procedure based
on the conditions of BRL for uncertain descriptor systems is proposed. Numerical examples are
included to illustrate the effectiveness of the present result.
Plotnikov S., Альманах современной метрологии 2024 № 2(38) С. 140–149
The results of the analysis of data collected by the method of expert questioning of Russian scientific metrological institutes’ employees, as well as buyers of measuring instruments, are presented. ...
Added: May 21, 2026
Апрелев А. В., Пивоварова Н. И., Plotnikov S. et al., Альманах современной метрологии 2022 № 2(30) С. 94–101
The results of the analysis of data from the Federal Information Fund for Ensuring the Uniformity of Measurements in terms of oscilloscopes are presented. ...
Added: May 21, 2026
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Stepanyants V., Хорошилов Г. С., Долгов И. М. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 95–110
Highly automated and connected vehicles are gradually entering the market. Currently, solutions are being proposed that allow these technologies to be used for cooperative driving automation, which can significantly improve traffic safety. Such technologies and their software should be tested to ensure safety before being implemented in real systems. Verification and validation of vehicular control ...
Added: May 12, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Kuvshinov A., Fominykh A., Ivanov F., IEEE Access 2026 Vol. 14 P. 50549–50557
The recursive (U|U+V) construction, a generalization of which includes polar codes, provides a powerful framework for building complex codes from simpler components. However, existing approaches predominantly rely on fixed or symmetric tree architectures, overlooking the critical impact of decomposition choice on code performance. This paper addresses the challenge of optimal tree decomposition selection by presenting a framework ...
Added: April 7, 2026
Manohin A., Электрооборудование: эксплуатация и ремонт 2026 № 2 С. 75–85
An extended method for calculating heat transfer coefficients using programs
for automated analysis of the thermal regime of TRIANA (ASONIKA-T) radio-electronic
equipment for various designs is proposed. Based on the analysis of the obtained
heat transfer coefficients, it is shown how to set realistic values for the convective
heat transfer coefficient in SOLIDWORKS Simulation and other CAE thermal analysis
systems. ...
Added: April 3, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
SciTePress, 2024.
This book contains the proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics. This year, ICINCO is held in Porto, Portugal, on November 18-20, 2024. It was sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and technically co-sponsored by the IEEE Systems, Man and Cybernetics ...
Added: March 17, 2026
IEEE, 2025.
On behalf of the organizing committee, it is our great privilege to present this compendium of research
articles for the 11th International Conference on Automation, Robotics, and Applications (ICARA 2025),
which will be held in the vibrant city of Zagreb, Croatia from February 12 to 14, 2025. The proceedings
encapsulate the latest advancements and innovative research in the ...
Added: March 17, 2026
Cham: Springer, 2026.
This book delivers actionable insights through 21 peer-reviewed chapters featuring new methods, models, and applications based on computational intelligence. Discover cutting-edge tools to support smart, efficient decision-making in complex, real-world scenarios. Organized into three parts—prescriptive analytics, soft computing models, and practical case studies—it spans domains such as healthcare, energy, mobility, finance, and public services. Readers ...
Added: March 17, 2026
Frolov O. V., Safin R. N., Tsoy T. G. et al., Ученые записки Казанского университета. Серия: Физико-математические науки 2025 Vol. 167 No. 4 P. 786–805
Advancements in robotics have expanded a use of unmanned aerial vehicle (UAV) swarms in
critical tasks such as disaster response, including search and rescue operations during floods, hurricanes,
landsliding, and earthquakes. Swarm formation control stands as a critical challenge in UAV swarm
control. In this article, a simple and resource-efficient method for addressing collisions within swarm
formations during outdoor ...
Added: March 17, 2026
Springer, 2026.
The two volume set LNAI 16303 + 16304 constitutes the refereed proceedings of the 10th International Conference on Interactive Collaborative Robotics, ICR 2025, held in Hanoi, Vietnam, during November 10–13, 2025. The 58 full papers presented in these two volumes were carefully reviewed and selected from 143 submissions. The papers are organized in the following topical sections:
Part ...
Added: March 17, 2026
Springer, 2026.
This book includes selected papers from the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), held in Barnaul, Altai Region, Russia, during June 03-06, 2025. The topics covered in the book are ground robotic systems in crop production, unmanned aerial vehicles in crop production, aerospace monitoring tools in crop production, robotic animal ...
Added: March 17, 2026
Song J., Bai Y., Svinin M. et al., Artificial Life and Robotics 2026 P. 1–13
This study introduces an innovative control approach for deploying multiple unmanned aerial vehicles (UAVs) to monitor an unknown food region. The proposed strategy is designed to optimally distribute UAVs across the food-afected area while cooperatively estimating the extent of inundation. To achieve this, an adaptive coverage controller is developed based on Centroidal Voronoi Tessellation (CVT), incorporating a novel ...
Added: March 17, 2026
Kurtc V., Prokhorov A., Journal of Mathematical Sciences 2025 No. 295 P. 229–240
We present a methodology for calibrating doubly constrained gravity models. Three types of deterrence functions are examined: exponential, power, and combined. The latter includes two calibration parameters, whereas the others contain only one. The parameters are identified so that the model reproduces the observed trip length distribution with high accuracy. We test four optimization methods: ...
Added: March 12, 2026
Kiselev G., Prokhorov A., Journal of Mathematical Sciences. Vol. 295, No. 2, December, 2025. Mathematical Modeling and AI for Traffic Flows on Networks and Related Topics 2025 No. 295 P. 185–196
We study the problem of estimating the population and workplaces in a given area using open data sources and machine learning algorithms for automation and improvement of quality and accuracy of the transport demand calculation in transport modeling.
Bibliography: 6 titles. Illustrations: 7 figures. ...
Added: March 12, 2026
М.: Международный центр «Новые научные исследования», 2025.
Сборник содержит статьи участников Международной научно-практической конференции «Научные открытия и инновационные стратегии», состоявшейся 24 мая 2025 г. в г. Москва.
В сборнике научных трудов рассматриваются современные научные проблемы и практики применения результатов научных исследований. Материалы сборника предназначены для научных работников, преподавателей, аспирантов, магистрантов, студентов в целях применения в научной работе и учебной деятельности. Ответственность за аутентичность ...
Added: February 18, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025