- Stonefly species taxonomy and ecology
- Electric Power Systems and Control
- Industrial Engineering and Technologies
- Historical Geography and Cartography
- Engineering Diagnostics and Reliability
- Material Properties and Failure Mechanisms
- Mathematical Control Systems and Analysis
- Advanced Data Processing Techniques
- Advanced Research in Systems and Signal Processing
- Land Use and Management
- Underwater Vehicles and Communication Systems
- Soil and Environmental Studies
- Advanced Scientific Research Methods
- Maritime Transport Emissions and Efficiency
- Chaos control and synchronization
- Robotic Locomotion and Control
- Adaptive Control of Nonlinear Systems
- Modular Robots and Swarm Intelligence
- Aquatic and Environmental Studies
- Soft Robotics and Applications
- Engineering Technology and Methodologies
- Marine and environmental studies
- Scientific Research Methodologies and Applications
- Robotics and Sensor-Based Localization
- Microgrid Control and Optimization
State Marine Technical University of St. Petersburg
2019-2025
Peter the Great St. Petersburg Polytechnic University
2017-2021
ITMO University
2017-2020
Admiral Makarov State University of Maritime and Inland Shipping
2016-2018
Voronezh State University of Engineering Technologies
2015
Transport and Telecommunication Institute
2015
Donbas State Technical University
2012
Marine Technical College
2012
The paper explores new approach for the real-time identification of harmonic composition distorted signals (voltages and currents) autonomous electric power systems with inconsistent frequency, phase amplitude, which can be greatly distorted. target non-stationary harmonics is made by adjustment parameters relevant function-prototype. proposed method tracking any signal makes possible to provide unique, stable convergent solution non-linear dynamic system. obtained algorithm provides unique...
Economic efficient Autonomous Road Vehicles (ARVs) are invariably subjected to uncertainties and perturbations. Therefore, control of vehicle systems requires stability withstand the effect variations in nominal performance. Lateral path-tracking is a substantial task ARVs, especially critical maneuvering cornering with variable speed. In this study, new controller on basis interval type-3 (T3) fuzzy logic system (FLSs) designed. The main novelties advantages as follows. (1) uncertainty...
Abstract One of the most essential tasks for a number systems automatic controls in autonomous electric power water transport is accurate calculation variable harmonic components non-sinusoidal signal. In operating with full semiconductor capacity, forms line currents and voltages are greatly distorted, generator devices generate voltage inconsistent frequency, phase amplitude. It makes composition distorted signals be non-trivial task. The present paper provides mathematical set solution...
In order to increase the compatibility between underwater robots and environment inspired by coconut octopus's bipedal walking, a method was proposed for walking an soft robot based on spring-loaded inverted pendulum (SLIP) model. Using characteristics of octopus tentacles rolling ground, wrist arm designed using cable-driven method, SLIP model established, which makes more suitable moving uneven ground. An then designed, machine vision algorithm used extract motion information analysis....
In this study, the synchronization problem of chaotic systems using integral-type sliding mode control for a category hyper-chaotic is considered. The proposed method can be used an extensive range identical/non-identical master-slave structures. Then, dynamic scheme planned to synchronize systems. Using Lyapunov stability theorem, recommended procedure guarantees that are synchronized in existence uncertainty as quickly possible. Next, order prove new controller, goal addressed by...
In this paper, a hybrid method based on deep learning is proposed to visually classify terrains encountered by mobile robots. Considering the limited computing resource robots and requirement for high classification accuracy, combines convolutional neural network with support vector machine keep accuracy while improve work efficiency. The key idea that used finish multi-class simultaneously make two-class classification. performed aimed at one kind of terrain users are mostly concerned with....
Currently, semiconductor gas sensors are being actively studied and used in various fields, including ecology, industry, medical diagnostics. One of the major challenges is to reduce their operating temperature room temperature. To address this issue, sensor layers based on WO3−x/WS2 nanostructures synthesized by hydrothermal method have been proposed. In paper, morphology material’s surface its elemental composition were investigated, as well optical band gap. Additionally, changes...
The development and analysis of the properties a new material based on UV-curable acrylate monomers with silicon-containing hydroxyapatite zinc oxide nanoparticles as an antibacterial component gelatin was carried out. Using this in orthopedics dentistry is very convenient because it covers any surface geometry metal implants hardens under ultraviolet light. In work, sorption properties, changes porosity, mechanical were investigated. conditions for obtaining (HA) presence silicon organic...
The development of renewable energies, particularly wind power, requires high-performance system modeling and optimization tools. Wind turbine emulators can reproduce the behavior real turbines, facilitating validation control strategies in a secure, flexible environment. must ensure accurate tracking profiles, robustness to disturbances, optimized execution real-time, despite computational hardware constraints. In addition, their extension hybrid systems smart grids imposes requirements...
Problems of realization completely autonomous systems navigation are considered in a set spheres human activity today. The most important task is today the attempt to create on basis system technical sight for motor transport, marine transport and aircraft. In article problem creation such drone which carrying out research or rescue operations difficult area considered. And it concrete wood. main objective finding footpaths among trees can follow. tool solution this offers use artificial...
Internet of Things (IoT) - a unified network physical objects that can change the parameters environment or their own, gather information and transmit it to other devices. It is emerging as third wave in development internet. This technology will give immediate access about world leading innovative services increase efficiency productivity. The IoT enabled by latest developments, smart sensors, communication technologies, protocols. article contains description lnternet things networks. Much...
In article questions of high productivity numerical computations for gas dynamics modelling based on discrete Fourier transform and approximation are considered. The offered method is use piecewise analytical the equations application transformations Fourier. It allows to increase accuracy calculations speed convergence solution in space three dimensions time. iterative scheme offered. Speed an error estimated. possibility considered by various approximating kernels. computing algorithm was...
Problems of realization completely autonomous systems navigation are considered in a set spheres human activity today. The most important task is today the attempt to create on basis system technical sight for motor transport, marine transport and aircraft. In article problem creation such drone which carrying out research or rescue operations difficult area considered. And it concrete wood. main objective finding footpaths among trees can follow. tool solution this offers use artificial...
The article overviews the results of research on peculiarities studies features modeling chaotic systems using digital finite-accuracy with a fixed point for radar systems. use such models allows obtaining robust systems, as well to study dynamic properties Electronic allow them basis powerful and high-frequency communication other electronic devices whose characteristics are competitive in comparison existing devices.
Developed HMI is a system consisting of set sensors, placed in special suit or item clothing. Dressed human operator able to control mechatronic object the distance. Mechatronic (for example an anthropomorphic robot) imitates motion by performing technological operations on removal. So, do it sensors are installed body areas which suitable copy movements. Then information from processed and going unit transmits signals wirelessly object. Human-machine interface represented as hardware...
Artificial neural networks are used in various fields of science: from speech recognition systems to the secondary protein structure, classification types cancer and genetic engineering. However, how do they work what good at? When it comes tasks other than processing large amounts information, human brain has a big advantage compared computer. A person can recognize faces even if there many foreign objects poor lighting room. We easily understand strangers when we noisy But, despite years...
This paper deals with the methods for investigating nonlinear dynamics of discrete chaotic systems (DCS) applied to piecewise linear third order. The proposes an approach analysis under research and their improvement. Thus, effective mathematically sound motions in models consideration are proposed. It makes it possible obtain simple calculated relations determining basic dynamic characteristics systems. Based on these methods, authors developed algorithms calculating systems, i.e. areas...
The safe and reliable navigation of such autonomous systems as unmanned aerial vehicles (UAV) is a complex open problem in robotics, where robotic system must simultaneously do many tasks perception, control localization. This task especially complicated when working an uncontrolled, unpredictable environment, for example, on city streets, wooded areas, etc. In these cases, the agent not only be guided to avoid collisions, but also interact safely with other agents environment. developed...
The cable-driven soft arm is mostly made of material; it difficult to control because the material characteristics, so traditional robot modeling and methods cannot be directly applied arm. In this paper, we combine data-driven method with reinforcement learning realize position task robotic arm, strategy based on deep Q learning. order solve slow convergence unstable effect in process simulation migration when actual task, a designed, which experimental data, establish environment for...