Search results for: RLS ALGORITHM - Bridge of Knowledge

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Search results for: RLS ALGORITHM

Search results for: RLS ALGORITHM

  • Finite-window RLS algorithms

    Publication

    - SIGNAL PROCESSING - Year 2022

    Two recursive least-squares (RLS) adaptive filtering algorithms are most often used in practice, the exponential and sliding (rectangular) window RLS algorithms. This popularity is mainly due to existence of low-complexity versions of these algorithms. However, these two windows are not always the best choice for identification of fast time-varying systems, when the identification performance is most important. In this paper, we...

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  • Rhamnolipid CMC Prediction

    Relationships between the purity, pH, hydrophobicity (log Kow) of the carbon substrate, and the critical micelle concentration (CMC) of rhamnolipid type biosurfactants (RL) were investigated using a quantitative structure–property relationship (QSPR) approach and are presented here for the first time. Measured and literature CMC values of 97 RLs, representing biosurfactants at different stages of purification, were considered....

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  • The distributed model predictive controller for the nuclear power plant turbo-generator set

    Publication

    Typically there are two main control loops with PI controllers operating at each turbo-generator set. In this paper a distributed model predictive controller DMPC, with local QDMC controllers for the turbine generator, is proposed instead of a typical PI controllers. The local QDMC controllers utilize step-response models for the controlled system components. These models parameters are determined based on the proposed black-box...

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  • The QDMC Model Predictive Controller for the Nuclear Power Plant Steam Turbine Control

    Publication

    There are typically two main control loops with PI con trollers operating at each turbo-generator set. In this paper a model predictive controller QDMC for the steam turbine is proposed - instead of a typical PI controller. The QDMC controller utilize a step-response model for the controlled system. This model parameters are determined, based on the simplified and linear model of turbo-generator set, which parameters are identified...

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  • Application of Diversity Combining with RLS Adaptive Filtering in Data Transmission in a Hydroacoustic Channel

    Publication

    - SENSORS - Year 2020

    When transmitting data in a hydroacoustic channel under difficult propagation conditions, one of the problems is intersymbol interference (ISI) caused mainly by the effect of multipath propagation. This phenomenon leads to a decrease in transmission parameters, and sometimes completely prevents it. Therefore, we have made an attempt to use diversity combining with Recursive Least Squares (RLS) adaptive filtering to improve the...

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  • Odbiór zbiorczy z filtracją adaptacyjną RLS w transmisji danych w kanale hydroakustycznym

    Publication

    - Przegląd Elektrotechniczny - Year 2022

    Transmisja danych w kanale hydroakustycznych realizowana jest w trudnych warunkach propagacyjnych. Jednym z problemów podczas takiej transmisji są zakłócenia międzysymbolowe (ISI – intersymbol interference) spowodowane głównie przez efekt wielodrogowości. To zjawisko utrudnia, bądź uniemożliwia transmisję danych w takim kanale. Stąd podjęto analizę wpływu zastosowania odbioru zbiorczego oraz filtracji adaptacyjnej RLS (Recursive...

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  • Wyznaczanie map hałasu z wykorzystaniem chmury obliczeniowej

    Publication

    W referacie przedstawiono gridow usług obliczeniow Mapy Hałasu. Algorytm predykcji hałasu i model ródła powstał w ramach bada Katedry Systemów Multimedialnych, Politechniki Gdaskiej. Aplikacja webowa umoliwia wykonanie map akustycznych, w szczególnoci hałasu drogowego bez uycia dodatkowego oprogramowania komercyjnego. W pracy przedstawiono zagadnienia z tematyki modelowania hałasu i propagacji dwiku w przestrzeniach miejskich....

  • Power System Stabilizer as a Part of a Generator MPC Adaptive Predictive Control System

    Publication

    - ENERGIES - Year 2021

    In this paper, a model predictive controller based on a generator model for prediction purposes is proposed to replace a standard generator controller with a stabilizer of a power system. Such a local controller utilizes an input-output model of the system taking into consideration not only a generator voltage Ug but also an additional, auxiliary signal (e.g., α, Pg, or ωg). This additional piece of information allows for taking...

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