Results 1 to 10 of about 178,175 (268)

A Long Short-Term Memory Neural Network for the Low-Cost Prediction of Soot Concentration in a Time-Dependent Flame

open access: yesEnergies, 2021
Particulate matter (soot) emissions from combustion processes have damaging health and environmental effects. Numerical techniques with varying levels of accuracy and computational time have been developed to model soot formation in flames. High-fidelity
Mehdi Jadidi   +2 more
doaj   +1 more source

Analysis, Modeling, and Simulation of Adaptive Control Based on Dynamic Conductance Estimation of Photovoltaic Generator Interfaced Current-Mode Buck Converter

open access: yesElektronika ir Elektrotechnika, 2022
In this paper, a novel adaptive control method is presented, aimed at robustifying the terminal voltage of the photovoltaic generator, interfaced by the current-mode-controlled buck DC-DC converter load, and based on conductance estimation.
Yakov Malinkovich   +2 more
doaj   +1 more source

Stabilization of Linear Time-Invariant Systems With Unbounded Disturbances via DE-Based Control Method

open access: yesIEEE Access, 2023
This paper investigates the stabilization problem of linear time-invariant (LTI) systems with unbounded disturbances. Firstly, three suitable filters are designed to asymptotically estimate the corresponding external disturbances: ${w}(t)= {p}\cos (3t) +
Xiaolong Wang, Keran Sun, Rongwei Guo
doaj   +1 more source

Maximum Power Point Tracking of PV System Based on Machine Learning

open access: yesEnergies, 2020
This project studies the conditions at which the maximum power point of a photovoltaic (PV) panel is obtained. It shows that the maximum power point is very sensitive to external disturbances such as temperature and irradiation.
Maen Takruri   +7 more
doaj   +1 more source

Evaluating Atlantic bluefin tuna harvest strategies that use conventional genetic tagging data

open access: yesFrontiers in Marine Science, 2023
An individual tagging model was implemented within the spatial, seasonal, multi-stock, multi-fleet operating models of the peer-reviewed Management Strategy Evaluation (MSE) framework for Atlantic bluefin tuna to evaluate the benefits of a harvest ...
Thomas R. Carruthers   +6 more
doaj   +1 more source

Application of unscented Kalman filter for clutch position control of automated manual transmission [PDF]

open access: yesArchive of Mechanical Engineering, 2022
In this paper, an adaptive sliding mode controller (ASMC) is proposed for an electromechanical clutch position control system to apply in the automated manual transmission. Transmission systems undergo changes in parameters with respect to the wide range
Abbas Soltani   +2 more
doaj   +1 more source

Analysis and Design of an Unsymmetrical Multi-storey building with floating columns in a seismic zone using ETABS [PDF]

open access: yesE3S Web of Conferences
Most high-rise structures today are designed with floating columns for aesthetic purposes and the need for efficient use of space. Lattice columns are vertical load-bearing elements that do not extend the entire height of the building, they are usually ...
Prakash Akula   +4 more
doaj   +1 more source

Nearest neighbor estimates of Kaniadakis entropy

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022
The aim of this paper is to develop new nonparametric estimators of entropy based on the kth nearest neighbor distances that are considered between n sample points, k ≤ (n − 1) being a positive integer, fixed.
Dănilă-Cernat Ioana
doaj   +1 more source

VISSIM Based Traffic Flow Simulation Analysis on Road Network [PDF]

open access: yesE3S Web of Conferences
The urban transport system is a heterogeneous system and is in serious trouble. Traffic congestion has become a major socio-economic problem in both urban and rural areas.
Prakash Akula   +4 more
doaj   +1 more source

A Consistent Estimator of Nontrivial Stationary Solutions of Dynamic Neural Fields

open access: yesStats, 2021
Dynamics of neural fields are tools used in neurosciences to understand the activities generated by large ensembles of neurons. They are also used in networks analysis and neuroinformatics in particular to model a continuum of neural networks.
Eddy Kwessi
doaj   +1 more source

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