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Machine Learning in Predicting the Impact of Filter Parameters on the Accuracy of Biosignal Measurement 27

Machine Learning in Predicting the Impact of Filter Paramete...

引用

27th International Conference on Digital Signal Processing and its Applications, DSPA 2025

作者： Altay, Yeldos A. Uskenbayeva, Raisa K. Ayazbay, Abu-Alim E. Fedorov, Alexey V. Department of Robotics and Technical Means of Automation Satbayev University Almaty Kazakhstan Institute of Automation and Information Technologies Vice-Rector Satbayev University Almaty Kazakhstan Almaty University of Power Engineering and Telecomunications Almaty Kazakhstan Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russian Federation

ISBN: (纸本)9798331518752

In this scientific article under consideration, a machine learning model has been developed that allows predicting the impact of filter parameters on the accuracy of measuring a biosignal - an ECG (electrocardiography) signal. For the first time, quantitative results have shown the degree of influence and the error introduced into the measured biosignal and described through dependence. The results of assessing the obtained relationship of indicators demonstrate an inverse correlation relationship that characterizes a decrease in the accuracy of measurement at the output of a high-order digital filtering system. The machine learning model is based on the linear regression method the dependence of which is approximated by the method based on least squares and visualized using a scattergram. The adequacy of the developed machine learning model was confirmed by calculating the coefficient of determination and checking its statistical significance. The developed model can be used to create new or improve existing biomedical data processing systems to increase the reliability of the results. © 2025 IEEE.

关键词： digital filters ECG signal processing filtering machine learning polynomial coefficients predicting

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Adaptive state observer for PMSM with fixed time convergence

Adaptive state observer for PMSM with fixed time convergence

引用

International Conference on control, Decision and Information Technologies (CoDIT)

作者： Dmitry Bazylev Dmitrii Dobriborsci Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia Deggendorf Institute of Technology Technology Campus Cham Cham

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

This paper is addressed to the problem of state estimation for permanent magnet synchronous motors (PMSMs) with uncertain parameters. The proposed observer of flux, rotor position and speed uses measurements of stator currents and control voltages only. Moreover, it is assumed that all the motor parameters are unknown. The designed estimation algorithm generates estimates of several parameters that are used by the state observer. Presented approach is based on motor model transformation that results in a linear regression model with unknown parameters and application of Kreisselmeier’s dynamic extension of the regressor with suitable mixing. It is shown that parameter and state estimates converge in a fixed time under some reasonable assumptions. Simulation results demonstrate efficiency of the proposed solution for a typical scenario of motor operation.

关键词： Adaptation models Uncertain systems Voltage measurement Heuristic algorithms Current measurement Linear regression Observers Stators Voltage control Convergence

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The electron transmission properties in a non-planar system of two chained rings 8

The electron transmission properties in a non-planar system ...

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8th International School and Conference "Saint Petersburg OPEN 2021" on Optoelectronics, Photonics, Engineering and Nanostructures, SPbOPEN 2021

作者： Smolkina, M.O. Popov, I.Y. Bagmutov, A.S. Blinova, I.V. Faculty of Control Systems and Robotics ITMO University St. Petersburg197101 Russia

The electron transmission properties in a model of two chained orthogonal quantum rings with input and output wires were investigated by using the quantum graph theory and quantum waveguide theory. The model was obtained for three-dimensional space. It also was shown that changing of the orientation of second ring in the respect to the field is a way to control the electron transmission and reflection. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Transmissions

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Analysis of the limiting behavior of a biological neurons system with delay 8

Analysis of the limiting behavior of a biological neurons sy...

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8th International School and Conference "Saint Petersburg OPEN 2021" on Optoelectronics, Photonics, Engineering and Nanostructures, SPbOPEN 2021

作者： Fedorov, E.G. Popov, I.Y. Faculty of Control Systems and Robotics ITMO University St. Petersburg197101 Russia

In this work an analytical and numerical analysis of the limiting behaviors of a system consisting of a pair of biological neurons was carried out. In this case connection between neurons will occur with a delay. As a neuron model, the FitzHugh-Nagumo model was chosen as a model that can reproduce many dynamic behaviors of a real neuron and, at the same time, is not very complex computationally. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Neurons

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Machine Learning Approaches for Failures Detection in Inertial Navigation systems

Machine Learning Approaches for Failures Detection in Inerti...

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Alexey Margun Radda Iureva Daniil Antonov Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia CSRI Electropribor ITMO University Saint Petersburg Russia

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. The reliability of these systems is paramount for ensuring the safe maneuvering of such vessels. Monitoring the technical condition of INS is crucial for operational safety. However, traditional diagnostic approaches often fall short in effectively tackling INS challenges due to dynamic uncertainties, external interferences, and susceptibility to informational disruptions. This paper presents a comparative study on the application of various machine learning strategies for diagnosing failures in INS. It specifically examines gyroscope and accelerometer data from surface vessels, employing the Nomoto model to describe their dynamics. The paper suggests methods for feature engineering and evaluation of their significance. Multiple machine learning algorithms were developed, refined, and evaluated to address the diagnostic challenge. An analysis comparing the effectiveness of these models is also included.

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The Development of Cutting Tools Active control Methodology for Numerical control Milling Machines

The Development of Cutting Tools Active Control Methodology ...

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2022 International Ural Conference on Electrical Power Engineering, UralCon 2022

作者： Basova, Tatiana Vladimirovna Andreev, Yuri Sergeevich Basova, Maria Vladimirovna Itmo University Faculty of Control Systems and Robotics St. Petersburg Russia Baltic State Technical University «voenmeh» Named after D.F. Ustinov Faculty of Arms and Weapons Systems St. Petersburg Russia

ISBN: (数字)9781665466523

ISBN: (纸本)9781665466523

The paper deals with the issues of the cutting tools (CT) widespread control methodology using tool setters;the new CT active control method is also proposed. The manual operations are reduced by this methodology due to the automatic development of tool setters' programs via the CT database. The operation adaptation of computer numerical control (CNC) machines is provided by upgrading tool setters' functioning algorithms. Both the CNC machines production performance increasing and the required product workmanship achievement of machine-building as well as instrument-making production might be received through the new methodology application. The advantages of this methodology are, firstly, cost-effectiveness due to the use of standard CNC machines sensors and, secondly, exclusion of manual processing for measurement results. © 2022 IEEE.

关键词： Cutting tools

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Magnetic Flux Servoing for Precise Localization Based on Gradient Tensor Contractions

Magnetic Flux Servoing for Precise Localization Based on Gra...

引用

IEEE International Conference on Automation Science and Engineering (CASE)

作者： Dean Martinović Matko Orsag Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems University of Zagreb Zagreb Croatia

This paper focuses on bridge inspections performed by intelligent unmanned aerial vehicles (UAV). For this, small data loggers are placed by the UAVs at the bridge, which have to be removed later. In our previous work we presented the magnetic localization method SRIOD, which not only detects the center of the data logger but also its orientation. In this work we proof SRIOD in a real application and let a robotic arm locate a magnetic target. The hardware involved is presented including the control strategy for the robot. The motions of the robot and the magnetic target are captured with 12 Optitrack cameras in order to validate the localization quality.

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Algorithm for Detecting Surface Defects in Hot-Rolled Sheet Metal for Technical Vision systems

Algorithm for Detecting Surface Defects in Hot-Rolled Sheet ...

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Information, control, and Communication Technologies (ICCT), International Conference on

作者： Vyacheslav V. Konyashov Alexey S. Sergeev Alexey V. Fedorov Kseniya A. Konyashova Oleg A. Kolganov Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia Researcher Scientific and Technical Center “Etalon” Saint Petersburg Russia

ISBN: (数字)9798331517564

ISBN: (纸本)9798331517571

The work presents the results of developing an algorithm for detecting surface defects in hot-rolled metal sheets for technical vision systems implementing the method of optical (laser) triangulation. The detection algorithm is implemented for a technical vision system based on a vision camera and a linear laser source. The results of experimental modeling are provided to determine the parameters of the optical detection scheme that meets the technological requirements of metal production. The experimental validation results of the detection algorithm for determining the sizes and locations of volumetric and planar surface defects are shown

关键词： Machine vision Surface emitting lasers Metals Process control Production Optical imaging Laser modes Laser transitions Laser applications Metal products

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Research of the possibility of using a neural network in the signal filtering instead of adaptive filters*

Research of the possibility of using a neural network in the...

引用

International Conference on control, Decision and Information Technologies (CoDIT)

作者： Kirill A. Shabanov Sergey M. Vlasov Alexey A. Margun Dmitrii Dobriborsci Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia Technology Campus Cham Deggendorf Institute of Technology Cham

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The article aims to research the application of neural networks in signal adaptive filtering. The problem of filtering signals from noise and distortion is relevant in control systems. In this paper, white noise filtering using adaptive filters and neural networks is reviewed. Neural network algorithms were chosen to solve the problem of signal filtering. Neural networks and classical adaptive filtering algorithms, such as the least mean squares and the recursive least squares, were compared considering their efficiency for additive white noise filtering tasks. A multi harmonic signal was filtered from the additive white Gaussian noise using these approaches. As a result, classical adaptive filtering algorithms demonstrated better performance in signal filtering tasks.

关键词： Adaptive systems Filtering Neural networks Adaptive filters Filtering algorithms Network architecture Harmonic analysis Distortion Information technology Power harmonic filters

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Development of a Mobile Reconfigurable Mecanum Robot with a Locking Device of Rollers

Development of a Mobile Reconfigurable Mecanum Robot with a ...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Dmitrii N. Zakharov Andrei M. Iaremenko Denis M. Kurovskii Artem M. Kurovskii Oleg I. Borisov Botao Zhang Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia School of Automation Hangzhou Dianzi University Hangzhou China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

This paper presents the design and analysis of an omnidirectional reconfigurable wheeled robot capable of switching between omnidirectional and conventional wheeled mode. We have developed a new pneumatic locking mechanism of rollers for the mecanum wheel. In the mecanum mode, the robot can perform holonomic movements, and in the wheeled platform mode, it can overcome inclined surfaces and perform more energy-efficient movements. In addition, the locking device allows the robot to brake faster compared to other mecanum robots. Unlike other works describing the reconfigurable structure of the mecanum wheel, this work offers a new design characterized by the simplicity of the mechanism and does not require the location of active reconfiguration elements inside the wheel itself. The paper describes the design concept and presents the mechanism for locking rollers. The study evaluates the use of the developed robot in various scenarios, including movement on an inclined surface, sudden braking on a plane and an inclined surface, and also analyzes the energy efficiency of the resulting solution for some operating scenarios. The experiments carried out confirm that this mobile platform, when switching mode, is able to move on surfaces with a large angle of inclination and perform more effective deceleration on both flat and inclined surfaces.

关键词： Performance evaluation Pressure sensors Regulators Wheels Switches Pneumatic systems Energy efficiency Mobile robots Brakes Robots

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