?
16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference) (STAB)
IEEE, 2022.
Under the general editorship: V. N. Tkhai
2022 16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy’s Conference) (STAB) is organized by V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
The conference is supported by
• Russian Academy of Sciences, Branch of Power Engineering, Mechanics, Machine-Building, and Control Sciences
Technical co-sponsoring
-
IEEE (Russia section)
Topics of the conference
-
General problems of stability and stabilization
-
Nonlinear oscillations: general problems and methods
-
Lyapunov functions methods
-
Smooth and nonsmooth dynamics
-
Problems of controllability and observability
-
Robust control problems
-
Control in mechanical and electromechanical systems
-
Control in mechatronic systems and robotic control
-
Oscillations, stability, and stabilization in the network and coupled systems
-
Stability and control of hybrid and switched systems
The conference is biannual. Before 2004 it was called International Workshop.
The first conference was held in Tallinn in 1987. In 1992, 1996 – 2012, 2016, 2018, 2020 the conference was held in Moscow, in 1994 in Samara.
Chapters
Semion A., Presnova A., , in: 16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference) (STAB).: IEEE, 2022. Ch. 60 P. 1–4.
In this paper algorithm of control synthesis for car active suspension with delays is examined. The problem is formulated in terms of differential games. External perturbation such as road surface unevenness is considered as actions of some opponent. The commonly known model of quarter car active suspension system will be expanded with delays under 0.5s ...
Added: September 13, 2022
Alexey E. Golubev, , in: 16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference) (STAB).: IEEE, 2022. P. 1–3.
A mathematical model of cerebral blood flow in the form of a dynamical system is considered. The cerebral blood flow
regulation problem is treated as a control problem. A nonlinear dynamics inversion based approach is applied to construct the relevant control laws which should help us understand the mathematics behind the cerebral blood flow autoregulation mechanism ...
Added: February 4, 2023
Language:
English
Mylnikov L., Slivnitsin P., Engineering Applications of Artificial Intelligence 2026 Vol. 179 Article 115185
The paper describes a applied artificial intelligence task of recognition-by-components method of real objects based on the recognition of a limited set of primitives or components. The recognition-by-components makes it possible to determine the components, that compose an object, and increase the number of recognizable objects without degrading the recognition quality. Training is performed on ...
Added: May 29, 2026
Gorbounov Vassily, Kazakov A., Data Analytics and Topology 2025 Vol. 1 No. 1 P. 33–45
A classic problem in data analysis is studying the systems of subsets defined by either a similarity or a dissimilarity function on X which is either observed directly or derived from a data set.
For an electrical network there are two functions on the set of the nodes defined by the resistance matrix and the response ...
Added: May 28, 2026
Mokienko O., Zisman M. A., Bobrov P. et al., American Journal of Physical Medicine and Rehabilitation 2026 Vol. 105 No. 6 P. 555–563
Brain-computer interfaces (BCIs) represent a promising technology for restoring lower limb motor functions and gait after stroke. The application of BCIs in this field is supported by a limited number of studies. The objective of the review was to systematically and critically evaluate the current evidence on the use of BCIs for lower limb function ...
Added: May 28, 2026
Arutyunov K., JIANG1 Q., FANG J. et al., Science China Information Sciences 2026 Vol. 69 No. 6 P. 1–11
Resonators based on nanoelectromechanical systems (NEMS) using two-dimensional (2D) materials with high-quality factors and excellent electrical control are critical for tunable coherent phonon dynamics, resonant sensors and wireless communications. However, their performance is fundamentally limited by the lack of a unified framework governing energy dissipation mechanisms and their electrical tunability. Here, we synergistically modulate both ...
Added: May 28, 2026
М.: Институт проблем управления им. В.А. Трапезникова РАН, 2024.
В сборник вошли материалы VIII Международной научной конференции «Информационные технологии и технические средства управления» (ICCT-2024). На конференции были рассмотрены вопросы, касающиеся перспектив развития научного приборостроения в телекоммуникационных и управляющих системах, биомедицинской информатики, аппаратного и программного обеспечения информационнокоммуникационных систем, надежности, диагностики и неразрушающего контроля, систем управления и автоматизации, цифровых экосистем, управления производством и логистикой, методов математического ...
Added: May 27, 2026
Degtyarev A., Bakhurin S., Yudin N., DSPA 2026 P. 1–6
This paper investigates one possible solution to the problem of self-interference cancellation (SIC) arising in the design of in-band full-duplex (IBFD) communication systems. Self-interference cancellation is performed in the digital domain using multilayer nonlinear models adapted via gradient-based optimization. The presence of local minima and saddle points during the adaptation of multilayer models limits the ...
Added: May 26, 2026
Ilyashenko Y., Shilin I., Stanislav Minkov, Russian Journal of Mathematical Physics 2026 Vol. 33 No. 1 P. 89–106
In this paper, new numerical invariants of structurally unstable vector fields in the plane
are found. One of the main tools is an improved asymptotics of sparkling saddle connections that
occur when a separatrix loop of a hyperbolic saddle breaks. Another main tool is a new topological
invariant of two arithmetic progressions, both perturbed and unperturbed, on the ...
Added: May 26, 2026
Androsov I., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 3 P. 87–114
This paper examines echo state networks (ESNs), one of the most prevalent approaches to
implementing reservoir computing. An ESN consists of a recurrent neural network with fixed (untrained)
weights and a readout layer that is typically linear and trainable. This approach enables the creation of energyefficient and computationally efficient neural networks capable of real-time learning. However, since ...
Added: May 26, 2026
Gusev I., Maksaev A., Promyslov V., Journal of Mathematical Sciences 2025 Vol. 299 No. 6
The regular graph of the space of n × m matrices over a field F is defined as the undirected graph whose vertices are matrices of rank min(n, m), and distinct matrices A and B are connected by an edge if and only if rk(A + B) < min(n, m). In this paper, for |F| ...
Added: May 25, 2026
Караваева Е. А., Кулигин Л. А., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 67–94
В статье представлен метод рефакторинга исходного кода на основе интеграции большой языковой модели (LLM) и расширенной UML-модели программного кода. Предложенный подход позволяет выявлять проблемные участки кода с использованием функций тревожности и структурных метрик классов, а затем выполнять автоматизированный рефакторинг. Ключевой особенностью метода является использование LLM для генерации формальных спецификаций на языке OCL (Object Constraint Language), ...
Added: May 24, 2026
Tyukin I., Tyukina T., van Helden D. P. et al., Information Sciences 2024 Vol. 678 Article 120856
AI errors pose a significant challenge, hindering real-world applications. This work introduces a novel approach to cope with AI errors using weakly supervised error correctors that guarantee a specific level of error reduction. Our correctors have low computational cost and can be used to decide whether to abstain from making an unsafe classification. We provide ...
Added: May 23, 2026
Zaikin A., Sviridov I., Sosedka A. et al., Technologies 2026 Vol. 14 No. 2 Article 84
High-dimensional tabular data are common in biomedical and clinical research, yet conventional machine learning methods often struggle in such settings due to data scarcity, feature redundancy, and limited generalization. In this study, we systematically evaluate Synolitic Graph Neural Networks (SGNNs), a framework that transforms high-dimensional samples into sample-specific graphs by training ensembles of low-dimensional pairwise ...
Added: May 23, 2026
Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026
Морозов С. В., Calcolo 2026 Vol. 63 No. 2 Article 23
The approximation of tensors in a low-para metric format is a crucial component in many mathematical modelling and data analysis tasks. Among the widely used low-parametric representations, the canonical polyadic (CP) decomposition is known to be very efficient. Nowadays, most algorithms for CP approximation aim to construct the approximation in the Frobenius norm; however, some ...
Added: May 22, 2026
Shishkina E., Revista Internacional de Metodos Numericos para Calculo y Diseno en Ingenieria 2025
This article investigates the problem of approximating the generalized
Erdélyi-Kober fractional operator (often referred to as the Lowndes operator)
using cubic splines. A method based on cubic spline interpolation
is proposed for approximating the operator on a non-uniform grid. The
convergence rate of the proposed method is proven, and its stability is
analyzed. Error bounds are established for functions in ...
Added: March 2, 2026
Perfluorosulfonic acid polymer membrane with increased chemical stability for hydrogen-air fuel cell
Safronova E. Y., A. O. Bedarkova, Novikova S. et al., Polymer Degradation and Stability 2025 Vol. 240 Article 111477
One of the key tasks of hydrogen energy development is to obtain chemically stable proton exchange polymer membranes with high proton conductivity. This article presents the results on the investigation of the stabilization of proton-conducting membranes with a Nafion®-type structure using modification by fluorine. The membranes examined in this study exhibited high thermal stability and ...
Added: August 26, 2025
Котельников А. В., Laboratorium. Журнал социальных исследований (США) 2024 Т. 16 № 2 С. 4–23
The article presents an ethnographic study of the commune Dom (Home), one of about a dozen currently existing communes (“homes”) in Saint Petersburg, Russia, based on cohabitation and management of common household by people who are not related to each other, in large apartments (once communal apartments or dormitories). The residents of the Dom postulate ...
Added: May 20, 2025
Буланова И. С., Dvoinin A., Двойнина В. К., Современная зарубежная психология 2025 Т. 14 № 1 С. 103–113
Recently, the concept of resilience has become very popular in psychological science, which in Russian-language psychology is translated as “zhiznesposobnost” [“viability”] or “ustoichivost” [“stability”]. Despite the fact that this concept has firmly entered the conceptual framework of psychological science, there is still no consensus among researchers on its definition and theoretical load. In the scientific ...
Added: April 1, 2025
Lysova A. A., Ponomarev I. I., Yaroslavtsev A. B., Solid State Ionics 2024 Vol. 414 Article 116644
Polybenzimidazoles (PBI) doped with phosphoric acid are a promising electrolyte for medium-temperature fuel cells. However, to be effective at high temperatures in the presence of acid, the mechanical and conductive properties of the material must be stable and no critical increase in gas permeability is required. This work proposes an approach to improve the properties ...
Added: February 21, 2025
Бурков А. А., Tyurlikov A., Информационно-управляющие системы 2022 Vol. 5 P. 49–59
Introduction: Internet of Things devices are actively used within the framework of Massive Machine-Type Communication scenarios. The interaction of devices is carried out by random multiple-access algorithms with limited throughput. To improve throughput one can use orthogonal preambles in the ALOHA-type class of algorithms. Purpose: To analyze ALOHA-based algorithms using the exploration phase and to calculate the characteristics ...
Added: September 26, 2023
Brodetskiy G., Gerami V., Gusev D. et al., Анализ и прогноз. Журнал ИМЭМО РАН 2023 № 2 С. 14–23
The article is devoted to the process of transformation of international supply chains in a crisis situation caused by the imposition of three powerful negative factors: the financial and economic crisis of 2008, the consequences of the COVID-19 pandemic and economic sanctions against the Russian Federation.
The authors point out that the destabilizing effect of the ...
Added: April 10, 2023
Alexey E. Golubev, , in: 16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference) (STAB).: IEEE, 2022. P. 1–3.
A mathematical model of cerebral blood flow in the form of a dynamical system is considered. The cerebral blood flow
regulation problem is treated as a control problem. A nonlinear dynamics inversion based approach is applied to construct the relevant control laws which should help us understand the mathematics behind the cerebral blood flow autoregulation mechanism ...
Added: February 4, 2023
A.E. Golubev, Дальневосточный математический журнал 2022 Vol. 22 No. 2 P. 170–175
A mathematical model of cerebral blood flow in the form of a system of nonlinear ordinary differential equations is studied. The cerebral blood flow autoregulation modeling problem is formulated as an output regulation automatic control problem. The nonlinear dynamics inversion based approach is applied to reveal the controllability properties of the model and construct the ...
Added: February 4, 2023