همهاخبارمکان‌یابراهنمای خریدتصاویرویدیومقالات علمی
درباره برتیناتماس با ماهوش مصنوعی رایگانایمیل رایگانمترجم رایگانDNS رایگانهواشناسیکاوش برتیناپشتیبانیتبلیغ در برتینا
درباره سرچحریم خصوصیشرایط

برتینا (فناوری پیشرفته پارسیان) شرکت دانش‌بنیان حوزه هوش مصنوعی

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ieeexplore.ieee.org/abstract/document/7158762/

Trajectory-tracking control design and modeling for quadrotor aerial vehicles

A Margun, D Bazylev, K Zimenko… - … Conference on Control …, 2015 - ieeexplore.ieee.org
۳ ارجاع2015

A control algorithm for finite-time tracking of quadrotor is introduced. The algorithm is based on use of feedback linearization method and finite-time output control presented in [17]. In …

www.scitepress.org/PublishedPapers/2019/79183/79183.pdfPDF

Interdisciplinary Approach to Cyber-physical Systems Training.

RA Iureva, AS Kremlev, AA Margun, SM Vlasov… - ICINCO (2), 2019 - scitepress.org
۳ ارجاع2019

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 …

ieeexplore.ieee.org/abstract/document/7002125/

Application of “consecutive compensator” method for robotic manipulator control

A Margun, K Zimenko, D Bazylev… - … Congress on Ultra …, 2014 - ieeexplore.ieee.org
۳ ارجاع2014

The problem of a two-link robotic manipulator control under disturbances and uncertainly known parameters of it's system is considered in this article. There was proposed a method for …

link.springer.com/chapter/10.1007/978-3-032-04764-9_14

Fault Detection and Isolation for USV with INS Using Genetic Algorithm

D Bazylev, A Margun, R Iureva - International Conference on Intelligent …, 2024 - Springer
2024

This study is addressed to a problem of fault detection and isolation (FDI) of an inertial navigation system that is used by an unmanned surface vessel (USV). The inertial navigation …

ieeexplore.ieee.org/abstract/document/10515549/

Machine learning approaches for failures detection in inertial navigation systems

A Margun, R Iureva, D Antonov - 2024 International Russian …, 2024 - ieeexplore.ieee.org
۱ ارجاع2024

Inertial Navigation Systems (INS) are essential for the navigation of both surface and underwater crafts, playing a critical role particularly in autonomous and automated control systems. …

ieeexplore.ieee.org/abstract/document/7984187/PDF

Event-triggered output robust controller

A Margun, I Furtat, K Zimenko… - … Conference on Control …, 2017 - ieeexplore.ieee.org
۳ ارجاع2017

Event-triggered output robust control algorithm is proposed in the paper. Controller synthesis is based on the consecutive compensator method. Event-trigger mechanism is based on …

www.sciencedirect.com/science/article/pii/S1474667016420598PDF

Real-Time EMG Signal Frequency Identification

KA Zimenko, AA Margun, AA Bobtsov… - IFAC Proceedings …, 2014 - Elsevier
۳ ارجاع2014

The paper deals with a method for real-time frequency analysis of the electromyogram. The method has been proposed for usage in control systems of advanced robotics for different …

link.springer.com/chapter/10.1007/978-981-13-8311-3_27PDF

Measures to design secure cyber-physical things

RA Iureva, AS Kremlev, AA Margun, SM Vlasov… - … 2019: Proceedings of …, 2019 - Springer
۳ ارجاع2019

The paper deals with the problem of cyber-security on the earliest stages of cyber-physical systems’ development. Increasing security risks in the Internet of Things and smart cities …

link.springer.com/chapter/10.1007/978-3-032-04761-8_6

Application of Machine Learning for Twin Rotor MIMO System Identification

R Iureva, A Margun, K Zimenko - International Conference on Intelligent …, 2024 - Springer
2024

This paper is devoted to the application of machine learning methods to the problem of identifying parameters of dynamic systems. The system under consideration is the Twin Rotor …

link.springer.com/chapter/10.1007/978-3-032-04761-8_21

Fast Gradient Sign Method Attack on Machine Learning Model in Time Series Analysis of Autonomous Underwater Vehicles

R Iureva, D Bazylev, A Margun - International Conference on Intelligent …, 2024 - Springer
2024

Abstract Machine learning (ML) models are increasingly used for time-series analysis to predict the behavior of complex dynamic systems, such as automatic process control systems …

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