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Tytuł:
On suppression of chaotic motions of a portal frame structure under non-ideal loading using a magneto-rheological damper
Autorzy:
Tusset, A. M.
Piccirillo, V.
Balthazar, J. M.
Brasil, R. M. L. R. F.
Powiązania:
https://bibliotekanauki.pl/articles/281951.pdf
Data publikacji:
2015
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
feedback control
feedforward control
MR damper
Opis:
We consider chaotic motions of a portal frame structure under non-ideal loading. To suppress this chaotic behavior, a controlling scheme is implemented. The control strategy involves application of two control signals and nonlinear feedforward control to maintain a desired periodic orbit, and state feedback control to bring the system trajectory into the desired periodic orbit. Additionally, the control strategy includes an active magneto-rheological damper to actuate the system. The control force of the damper is a function of the voltage applied in the coil of the damper that is based on the force given by the controller.
Źródło:
Journal of Theoretical and Applied Mechanics; 2015, 53, 3; 653-664
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A simplified control strategy for single-phase UPS inverters
Autorzy:
Monfared, M.
Powiązania:
https://bibliotekanauki.pl/articles/201075.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
single-phase UPS
multi-loop feedback
feedforward
Opis:
Though there are many strategies to control single-phase uninterruptible power supply (UPS) inverters, they suffer from some drawbacks, the main being complexity. This paper proposes a simple dual-loop controller for the single-phase UPS inverter with the LC filter. The suggested control scheme uses the capacitor current as the feedback signal in the inner current loop. No fictitious phase generation or reference frame transformations are required, and simple proportional gains are employed as both voltage and current regulators. A feedforward of the derivative of the output voltage is also proposed, which significantly improves the performance of the closed loop control system. Then, based on the model of the inverter with the proposed control strategy, a simple and systematic design procedure is presented. Finally, the theoretical achievements are supported by extensive simulations.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2014, 62, 2; 367-373
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A repeatability study of artificial neural network predictions in flow stress model development for a magnesium alloy
Autorzy:
Siewior, Hubert
Madej, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/29520089.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
flow stress
artificial neural networks
feedforward
recursive
Opis:
This work is devoted to an evaluation of the capabilities of artificial neural networks (ANN) in terms of developing a flow stress model for magnesium ZE20. The learning procedure is based on experimental flow-stress data following inverse analysis. Two types of artificial neural networks are investigated: a simple feedforward version and a recursive one. Issues related to the quality of input data and the size of the training dataset are presented and discussed. The work confirms the general ability of feedforward neural networks in flow stress data predictions. It also highlights that slightly better quality predictions are obtained using recursive neural networks.
Źródło:
Computer Methods in Materials Science; 2021, 21, 4; 209-218
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision making support system for managing advertisers by ad fraud detection
Autorzy:
Gabryel, Marcin
Scherer, Magdalena M.
Sułkowski, Łukasz
Damaševičius, Robertas
Powiązania:
https://bibliotekanauki.pl/articles/2031082.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
lead management
feedforward neural networks
embedding
online marketing
Opis:
Efficient lead management allows substantially enhancing online channel marketing programs. In the paper, we classify website traffic into human- and bot-origin ones. We use feedforward neural networks with embedding layers. Moreover, we use one-hot encoding for categorical data. The data of mouse clicks come from seven large retail stores and the data of lead classification from three financial institutions. The data are collected by a JavaScript code embedded into HTML pages. The three proposed models achieved relatively high accuracy in detecting artificially generated traffic.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 4; 331--339
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Convergence Analysis of Multilayer Feedforward Networks Trained with Penalty Terms: A review
Autorzy:
Wang, J.
Yang, G.
Liu, S.
Zurada, J. M.
Powiązania:
https://bibliotekanauki.pl/articles/108639.pdf
Data publikacji:
2015
Wydawca:
Społeczna Akademia Nauk w Łodzi
Tematy:
Gradient
feedforward neural networks
generalization
penalty
convergence
pruning algorithms
Opis:
Gradient descent method is one of the popular methods to train feedforward neural networks. Batch and incremental modes are the two most common methods to practically implement the gradient-based training for such networks. Furthermore, since generalization is an important property and quality criterion of a trained network, pruning algorithms with the addition of regularization terms have been widely used as an efficient way to achieve good generalization. In this paper, we review the convergence property and other performance aspects of recently researched training approaches based on different penalization terms. In addition, we show the smoothing approximation tricks when the penalty term is non-differentiable at origin.
Źródło:
Journal of Applied Computer Science Methods; 2015, 7 No. 2; 89-103
1689-9636
Pojawia się w:
Journal of Applied Computer Science Methods
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Repetitive neurocontroller with disturbance feedforward path active in the pass-to-pass direction for a VSI inverter with an output LC filter
Autorzy:
Ufnalski, B.
Grzesiak, L. M.
Powiązania:
https://bibliotekanauki.pl/articles/200017.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
repetitive control
feedforward neural network
dynamic optimization problem
repetitive disturbance rejection
voltage source inverter
disturbance dual feedforward path
sterowanie powtarzalne
sieci neuronowe
problem optymalizacji dynamicznej
przetwornica napięcia
odrzucanie zakłóceń
Opis:
An enhancement to the previously developed repetitive neurocontroller (RNC) is discussed and investigated in the paper. Originally, the time-base generator (TBG) has been used to produce the only input signal for the neural approximator. The resulting search space makes the dynamic optimization problem (DOP) of shaping the control signal solvable with the help of a function approximator such as the feed-forward neural network (FFNN). The plant under consideration, i.e. a constant-amplitude constant-frequency voltage-source inverter (CACF VSI) with an output LC filter, is assumed to be equipped with the disturbance load current sensor to enable implementation of the disturbance feed-forward (pDFF) path as a part of the non-repetitive subsystem acting in the along the pass p-direction. An investigation has been undertaken to explore potential benefits of using this signal also as an additional input for the RNC to augment the approximation space and potentially enhance the convergence rate of the real-time search process. It is numerically demonstrated in the paper that the disturbance feed-forward path active in the pass-to-pass k-direction (kDFF) improves the dynamics of the repetitive part as well indeed.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 1; 115-125
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bilateral teleoperation system for a mini crane
Autorzy:
Herbin, Paweł
Woźniak, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/135104.pdf
Data publikacji:
2019
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
human robot interface
machine control
mechatronic system
exoskeleton
hri
hydraulic crane
feedforward control
Opis:
In this paper, two automatic mini-crane control systems have been compared; utilizing feedback as well as both feedback and feedforward structures. The proposed control systems were implemented in a Master-Slave system to provide intuitive control for a mini-crane by human muscles. The control systems that have been designed were tested on constructions with similar structures i.e. an upper limb exoskeleton and a mini-crane with two joints, but using different actuation systems. The mini-crane had hydraulic actuators, whereas the exoskeleton was equipped with electrical actuators.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2019, 57 (129); 63-69
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting economic and financial indicators by supply of deep and recovery neural networks
Autorzy:
Boyko, N.
Ivanets, A.
Bosik, M.
Powiązania:
https://bibliotekanauki.pl/articles/411261.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
neural network
deep
recurrent
activation function
feedforward
neuron
hidden layer
stock price prediction
Opis:
This paper studies the potential of the application of the Recurrent Neural Networks, as well as the Deep Neural Networks in the field of the finances and trading. In particular, their use in the stock price predicting software. The concepts of the RNNs and DNNs are provided and explained thoroughly. Both techniques RNNs and DNNs are utilized in the implementation of the stock price predicting software. Two separate versions of the software are created in order to demonstrate the main differences between the algorithms, as well as to determine the best of the two. Each version is thoroughly examined. The comparison of each of the algorithms is performed and highlighted. Examples of the implementations of the software, utilizing each of the algorithms on big volumes of stock data, for stock price prediction are provided. The article summarizes the concept of stock price prediction backed by the popular machine learning algorithms and its application in the nowadays world.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2018, 7, 2; 3-8
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Earplug Actuator Selection for a Miniature Personal Active Hearing Protection System
Autorzy:
Pawełczyk, M.
Latos, M.
Powiązania:
https://bibliotekanauki.pl/articles/178052.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
active noise control
fixed-parameter control
high-level noise
nonstationary noise
feedforward control
earplug
hearing protection
Opis:
There are many industrial environments which are exposed to a high-level noise. It is necessary to protect people from the noise. Most of the time, the consumer requires a miniature version of a noise canceller to satisfy the internal working place requirements. Very important thing is to select the most appropriate personal hearing protection device, for example an earplug. It should guarantee high passive noise attenuation and allow for secondary sound generation in case of active control. In many cases the noise is nonstationary. For instance, some of the noisy devices are switched on and off, speed of some rotors or fans changes, etc. To avoid any severe transient acoustic effects due to potential convergence problems of adaptive systems, a fixed-parameter approach to control is appreciated. If the noise were stationary, it would be possible to design an optimal control filter minimising variance of the signal being the effect of the acoustic noise and the secondary sound interference. Because of noise nonstationarity for most applications, the idea of generalised disturbance defined by a frequency window of different types has been developed by the authors and announced in previous publications. The aim of this paper is to apply such an approach to different earplugs and verify its noise reduction properties. Simulation experiments are conducted based on real world measurements performed using the G.R.A.S. artificial head equipped with an artificial mechanical ear, and the noise recorded in a power plant.
Źródło:
Archives of Acoustics; 2010, 35, 2; 213-222
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neuromechanical control in submaximal drop jumps: The effects of volitional effort demands and drop height magnitude on soleus muscle activation
Autorzy:
Mrdakovic, V.
Pazin, N.
Vulovic, R.
Filipovic, N.
Ilic, D.
Powiązania:
https://bibliotekanauki.pl/articles/307166.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
elektromiografia
sprzężenie zwrotne
staw skokowy
biomechanika
electromyography
stretch-shortening cycle
feedback control
pre activation
feedforward control
ankle biomechanics
Opis:
The purpose of this study was to investigate soleus muscle activation during different phases of drop jump performed at submaximal levels of volitional effort and drop height magnitude. Methods: Fifteen professional volleyball players with minimum of eight years of experience in jumping activities participated in the study. Experimental protocol involved executing submaximal drop jumps at three levels of volitional effort (i.e., 65, 80 and 95% of the maximal height of jump). All submaximal drop jumps were done from three drop heights (20, 40 and 60 cm). The soleus muscle activation was monitored during four jump phases: pre-activation phase before touchdown, early contact phase upon touchdown, early and late push-off phase. Results: The results indicate that volitional effort level did not change the muscle activation during pre activation and early contact phase, but only in early and late push-off phase ( p ≤ 0.05). Conversely, it was observed that muscle activation during all phases of drop jump was adapted to the increased intensity of the external load caused by increasing of drop height magnitude ( p ≤ 0.01). Conclusions: The findings of the present study suggested that soleus muscle activation has selective responses to internal load (i.e., volitional effort level) and external load (i.e., drop height magnitude) intensities when drop jump is executing with submaximal effort.
Źródło:
Acta of Bioengineering and Biomechanics; 2018, 20, 4; 101-111
1509-409X
2450-6303
Pojawia się w:
Acta of Bioengineering and Biomechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quiet Zone for the patient in an Ambulance : Active Noise Control Technology for Siren Noise Reduction
Autorzy:
Sharma, M. K.
Vig, R.
Pal, R.
Shantharam, V.
Powiązania:
https://bibliotekanauki.pl/articles/177099.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
active noise control
ANC
virtual sensing technique
ambulance siren noise
zone of silence
feedforward ANC
virtual ANC
Opis:
This paper proposes an active noise control (ANC) application to attenuate siren noise for the patient lying inside ambulance with no sound proofing. From the point of cost effectiveness, a local ANC system based on feedforward scheme is considered. Further, to handle the limitation of limited Zone of Silence (ZoS), the ANC based on virtual sensing is explored. The simulations are done in MATLAB for the recorded ambulance siren noise signal. The results indicate that ANC can be an effective solution for creating a silent environment for the patient.
Źródło:
Archives of Acoustics; 2018, 43, 2; 275-281
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using artificial neural networks to predict the reference evapotranspiration
Autorzy:
Abo El-Magd, Amal
Baraka, Shaimaa M.
Eid, Samir F.M.
Powiązania:
https://bibliotekanauki.pl/articles/27312640.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
climate data
ETo calculator
feedforward artificial neural networks
Penman-Monteith method
reference evaporation
root mean square error
Opis:
Artificial neural network models (ANNs) were used in this study to predict reference evapotranspiration (ETo) using climatic data from the meteorological station at the test station in Kafr El-Sheikh Governorate as inputs and reference evaporation values computed using the Penman-Monteith (PM) equation. These datasets were used to train and test seven different ANN models that included different combinations of the five diurnal meteorological variables used in this study, namely, maximum and minimum air temperature (Tmax and Tmin ), dew point temperature (Tdw), wind speed (u), and precipitation (P), how well artificial neural networks could predict ETo values. A feed-forward multi-layer artificial neural network was used as the optimization algorithm. Using the tansig transfer function, the final architected has a 6-5-1 structure with 6 neurons in the input layer, 5 neurons in the hidden layer, and 1 neuron in the output layer that corresponds to the reference evapotranspiration. The root mean square error (RMSE) of 0.1295 mm∙day -1 and the correlation coefficient (r) of 0.996 are estimated by artificial neural network ETo models. When fewer inputs are used, ETo values are affected. When three separate variables were employed, the RMSE test values were 0.379 and 0.411 mm∙day -1 and r values of 0.971 and 0.966, respectively, and when two input variables were used, the RMSE test was 0.595 mm∙day -1 and the r of 0.927. The study found that including the time indicator as an input to all groups increases the prediction of ETo values significantly, and that including the rain factor has no effect on network performance. Then, using the Penman-Monteith method to estimate the missing variables by using the ETo calculator the normalised root mean squared error (NRMSE) reached about 30% to predict ETo if all data except temperature is calculated, while the NRMSE reached about of 13.6% when used ANN to predict ETo using variables of temperature only.
Źródło:
Journal of Water and Land Development; 2023, 57; 1--8
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Feedforward neural networks and the forecasting of multi-sectional demand for telecom services: a comparative study of effectiveness for hourly data
Jednokierunkowe sieci neuronowe w prognozowaniu wieloprzekrojowego popytu na usługi telefoniczne – porównawcze badania efektywności dla danych godzinowych
Autorzy:
Kaczmarczyk, P.
Powiązania:
https://bibliotekanauki.pl/articles/2117264.pdf
Data publikacji:
2020
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
Prediction System
feedforward neural network
regressive-neural model
forecasting
jednokierunkowa sieć neuronowa
model regresyjno-neuronowy
prognozowanie
system prognostyczny
Opis:
The presented research focuses on the construction of a model to effectively forecast demand for connection services – it is thus relevant to the Prediction System (PS) of telecom operators. The article contains results of comparative studies regarding the effectiveness of neural network models and regressive-neural (integrated) models, in terms of their short-term forecasting abilities for multi-sectional demand of telecom services. The feedforward neural network was used as the neural network model. A regressive-neural model was constructed by fusing the dichotomous linear regression of multi-sectional demand and the feedforward neural network that was used to model the residuals of the regression model (i.e. the residual variability). The response variable was the hourly counted seconds of outgoing calls within the framework of the selected operator network. The calls were analysed within: type of 24 hours (e.g. weekday/weekend), connection categories, and subscriber groups. For both compared models 35 explanatory variables were specified and used in the estimation process. The results show that the regressive-neural model is characterised by higher approximation and predictive capabilities than the non-integrated neural model.
Zaprezentowane wyniki badań są związane z systemem prognostycznym przeznaczonym dla operatorów telekomunikacyjnych, ponieważ są skoncentrowane na sposobie konstrukcji modelu do efektywnego prognozowania popytu na usługi połączeniowe. Artykuł zawiera wyniki porównawczych badań efektywności modelu sieci neuronowej i modelu regresyjno-neuronowego (zintegrowanego) w zakresie krótkookresowego prognozowania zapotrzebowania na usługi telefoniczne. Jako model sieci neuronowej zastosowany został model sieci jednokierunkowej. Model regresyjno-neuronowy został zbudowany na podstawie połączenia dychotomicznej regresji liniowej wieloprzekrojowego popytu i jednokierunkowej sieci neuronowej, która służyła do modelowania reszt modelu regresji (tj. pozostałej zmienności). Zmienną objaśnianą były sumowane co godzinę liczby sekund rozmów wychodzących z sieci wybranego operatora. Połączenia telefoniczne były analizowane pod względem: typów doby, kategorii połączeń i grup abonentów. Wyszczególniono 35 zmiennych objaśniających, które wykorzystano w procesie estymacji obu porównywanych modeli. Stwierdzono, że model regresyjno-neuronowy charakteryzuje się większymi możliwościami aproksymacyjnymi i predykcyjnymi niż niezintegrowany model neuronowy.
Źródło:
Acta Scientiarum Polonorum. Oeconomia; 2020, 19, 3; 13-25
1644-0757
Pojawia się w:
Acta Scientiarum Polonorum. Oeconomia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal design of model following control with genetic algorithm
Autorzy:
Zhang, X.
Yamane, Y.
Powiązania:
https://bibliotekanauki.pl/articles/205732.pdf
Data publikacji:
2001
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
algorytm genetyczny
model optymalny
sprzężenie do przodu
sprzężenie zwrotne
feedback
feedforward
genetic algorithm
model following control (MFC)
optimal design
Opis:
This paper presents a genetic algorithm for the optimal design of model following control in which there are nonlinear disturbance and unceratin parameters, where the output is regulated to follow the output of reference model. The effectiveness of the proposed algorithm is illustrated by numerical examples.
Źródło:
Control and Cybernetics; 2001, 30, 1; 71-79
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optymalne sterowanie temperaturą i stężeniem dwutlenku węgla w wybranym procesie klimatycznym szklarni
Optimal control of temperature and carbon dioxide concentration in selected greenhouse climate process
Autorzy:
Stankiewicz, A.
Powiązania:
https://bibliotekanauki.pl/articles/287823.pdf
Data publikacji:
2009
Wydawca:
Polskie Towarzystwo Inżynierii Rolniczej
Tematy:
sterowanie
klimat
szklarnia
model matematyczny
sprzężenie zwrotne
sprzężenie "wprzód"
greenhouse climate control
feedback control
feedforward control
time-multiplied performance index
Opis:
W pracy rozważa się zadanie równoczesnego sterowania temperaturą powietrza i stężeniem dwutlenku węgla wewnątrz szklarni dla wybranego, znanego w literaturze, systemu klimatycznego szklarni. Sterowanie realizowane jest w systemie sterowania typu feedback-feedforward, który pozwala w torze sprzężenia "wprzód" skutecznie i szybko kompensować skutki szybkozmiennych deterministycznych zakłóceń, a w torze sprzężenia zwrotnego od stanu procesu zapewnia szybkie zanikanie błędu sterowania. Macierz regulatora dobrano optymalnie w sensie całkowego wskaźnika kwadratowego z mnożnikiem czasowym. Wyniki eksperymentów przeprowadzonych z wykorzystaniem programu Matlab/Simulink dowodzą skuteczności zastosowanej struktury i algorytmu sterowania.
The control of the temperature and carbon dioxide concentration inside the greenhouse is an important tool to control crop growth both in a qualitative as well as in a quantitative sense in view of the horticultural practice of modern greenhouses. The simulation experiments were conducted for simultaneous control of the temperature and carbon dioxide concentration for the known in the literature example of the production of a lettuce crop by the use of the Simulink toolbox of Matlab. The effectiveness of the model based feedback-feedforward control system is demonstrated for the state variables stabilization on piecewise constant user-desired or computed by the upper optimization level set-points.
Źródło:
Inżynieria Rolnicza; 2009, R. 13, nr 9, 9; 273-281
1429-7264
Pojawia się w:
Inżynieria Rolnicza
Dostawca treści:
Biblioteka Nauki
Artykuł
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