This study deals with the addressing the issue of ensuring the operational condition of the technological system in terms of quality parameters for manufacturing products within the required timeframe by developing an...
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In this article dynamically positioned surface vessel model is considered. To achieve precise performance of the vessel with unknown parameters two control problem was solved. First one is online parametric identifica...
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The paper is devoted to the problem of robust finite-time control design for linear descriptor systems. The proposed homogeneity based control does not require system transformation to a canonical form and guarantee f...
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This paper evaluates three controlsystems for the propulsion of remote-controlled unmanned underwater vehicles utilizing direct current (DC) motors with propellers. Simulation models based on dynamic and static prope...
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The problem of signal processing is extracting the desired target speaker while suppressing the annoying background noise in complex recording situation, where exists third-party talker, transport vehicle or interfere...
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This paper presents filtering methods for improvement of biosignal measurement accuracy - an ECG signal under the influence of electromagnetic interference, which has a significant impact on the operation of the IoB s...
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The paper proposes a new algorithm for compensating external disturbances for a class of multi-input multi-output (MIMO) linear systems. The solution of the problem is based on the use of the internal model principle ...
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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 al...
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Any manufacturing process aims to become more efficient. There is a plenty ways to achieve this. One of those is industrial equipment technical state prediction. Some of the methods are considered. Also, inclusion of ...
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The paper focuses on using Deep Learning (DL) and Computer Vision (CV) techniques to detect surface defects in rolled metal products. By utilizing a Convolutional Neural Network (CNN), various surface defects can be d...
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