Mathematical Modeling of Engineering and Socio-Economic Processes and Systems

This reprint contains articles based on the results of mathematical modeling for solving engineering and socio-economic problems. This means applying mathematical applications in mathematical and non-mathematical contexts. The following areas of work are relevant in engineering processes and control...

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प्रकाशित: MDPI - Multidisciplinary Digital Publishing Institute 2024
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ऑनलाइन पहुंच:ONIX_20240704_9783725811953_122
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collection Directory of Open Access Books
description This reprint contains articles based on the results of mathematical modeling for solving engineering and socio-economic problems. This means applying mathematical applications in mathematical and non-mathematical contexts. The following areas of work are relevant in engineering processes and control systems for the objectives of different industries, for example, power engineering: the improvement of technical, technological, and information methods for the effective integration of renewable and traditional energy facilities in energy technology complexes; the modeling and regulation of non-equilibrium processes of thermal power engineering with the development of new theoretical models; and the improvement of theoretical and methodological approaches to the description of jump and impulse processes when combining the capabilities of complex systems using diversified material and energy resources. In the field of mechanical engineering, works related to the mathematical description of adaptive technical systems and the improvement of engineering systems and processes are relevant.
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language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1393262024-07-04T09:42:29Z Mathematical Modeling of Engineering and Socio-Economic Processes and Systems Aliukov, Sergei Viktorovich Alabugin, Anatoliy Alekseevich Osintsev, Konstantin Vladimirovich surface asperities interaction Markov process tribological parameters coal–water suspensions (CWS) combustion process mathematical modeling studies transportation traffic flow rate lane occupancy signal-controlled intersections traffic signalization neural network technologies multi-grid algorithm hydrodynamic pressures journal bearing non-Newtonian fluids highly viscous boundary layer vehicle-related emissions recurrent neural networks (RNN) convolutional neural network (CNN) traffic deep learning wind energy horizontal axis wind turbine yaw system weather vane computational fluid dynamics Delayed Detached Eddy Simulation oscillating-cup viscometer mathematical model nonlinear oscillations elastic–gas-dynamic task first-order gradient method variational principle of lagrange finite difference method petal bearing modeling model macroeconomics microeconomics sources review single-layer neural network model data recovery noise numerical simulation coupling coefficients resilience sustainable development instability multivariate comparisons Mahalanobis distance time series trends analysis correlation and regression analysis cluster analysis analysis of variance theoretical foundations impulse and jump characteristics control systems with variable structure (VSS) sliding modes (SM) slow and fast movements perfect glide phase trajectories control object thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics This reprint contains articles based on the results of mathematical modeling for solving engineering and socio-economic problems. This means applying mathematical applications in mathematical and non-mathematical contexts. The following areas of work are relevant in engineering processes and control systems for the objectives of different industries, for example, power engineering: the improvement of technical, technological, and information methods for the effective integration of renewable and traditional energy facilities in energy technology complexes; the modeling and regulation of non-equilibrium processes of thermal power engineering with the development of new theoretical models; and the improvement of theoretical and methodological approaches to the description of jump and impulse processes when combining the capabilities of complex systems using diversified material and energy resources. In the field of mechanical engineering, works related to the mathematical description of adaptive technical systems and the improvement of engineering systems and processes are relevant. 2024-07-04T09:42:26Z 2024-07-04T09:42:26Z 2024 book ONIX_20240704_9783725811953_122 9783725811953 9783725811960 https://directory.doabooks.org/handle/20.500.12854/139326 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9323 https://mdpi.com/books/pdfview/book/9323 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1196-0 10.3390/books978-3-7258-1196-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725811953 9783725811960 322 open access
spellingShingle surface asperities interaction
Markov process
tribological parameters
coal–water suspensions (CWS)
combustion process
mathematical modeling
studies
transportation
traffic flow rate
lane occupancy
signal-controlled intersections
traffic signalization
neural network technologies
multi-grid algorithm
hydrodynamic pressures
journal bearing
non-Newtonian fluids
highly viscous boundary layer
vehicle-related emissions
recurrent neural networks (RNN)
convolutional neural network (CNN)
traffic
deep learning
wind energy
horizontal axis wind turbine
yaw system
weather vane
computational fluid dynamics
Delayed Detached Eddy Simulation
oscillating-cup viscometer
mathematical model
nonlinear oscillations
elastic–gas-dynamic task
first-order gradient method
variational principle of lagrange
finite difference method
petal bearing
modeling
model
macroeconomics
microeconomics
sources
review
single-layer neural network model
data recovery
noise
numerical simulation
coupling coefficients
resilience
sustainable development
instability
multivariate comparisons
Mahalanobis distance
time series
trends analysis
correlation and regression analysis
cluster analysis
analysis of variance
theoretical foundations
impulse and jump characteristics
control systems with variable structure (VSS)
sliding modes (SM)
slow and fast movements
perfect glide
phase trajectories
control object
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Mathematical Modeling of Engineering and Socio-Economic Processes and Systems
title Mathematical Modeling of Engineering and Socio-Economic Processes and Systems
title_full Mathematical Modeling of Engineering and Socio-Economic Processes and Systems
title_fullStr Mathematical Modeling of Engineering and Socio-Economic Processes and Systems
title_full_unstemmed Mathematical Modeling of Engineering and Socio-Economic Processes and Systems
title_short Mathematical Modeling of Engineering and Socio-Economic Processes and Systems
title_sort mathematical modeling of engineering and socio economic processes and systems
topic surface asperities interaction
Markov process
tribological parameters
coal–water suspensions (CWS)
combustion process
mathematical modeling
studies
transportation
traffic flow rate
lane occupancy
signal-controlled intersections
traffic signalization
neural network technologies
multi-grid algorithm
hydrodynamic pressures
journal bearing
non-Newtonian fluids
highly viscous boundary layer
vehicle-related emissions
recurrent neural networks (RNN)
convolutional neural network (CNN)
traffic
deep learning
wind energy
horizontal axis wind turbine
yaw system
weather vane
computational fluid dynamics
Delayed Detached Eddy Simulation
oscillating-cup viscometer
mathematical model
nonlinear oscillations
elastic–gas-dynamic task
first-order gradient method
variational principle of lagrange
finite difference method
petal bearing
modeling
model
macroeconomics
microeconomics
sources
review
single-layer neural network model
data recovery
noise
numerical simulation
coupling coefficients
resilience
sustainable development
instability
multivariate comparisons
Mahalanobis distance
time series
trends analysis
correlation and regression analysis
cluster analysis
analysis of variance
theoretical foundations
impulse and jump characteristics
control systems with variable structure (VSS)
sliding modes (SM)
slow and fast movements
perfect glide
phase trajectories
control object
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
topic_facet surface asperities interaction
Markov process
tribological parameters
coal–water suspensions (CWS)
combustion process
mathematical modeling
studies
transportation
traffic flow rate
lane occupancy
signal-controlled intersections
traffic signalization
neural network technologies
multi-grid algorithm
hydrodynamic pressures
journal bearing
non-Newtonian fluids
highly viscous boundary layer
vehicle-related emissions
recurrent neural networks (RNN)
convolutional neural network (CNN)
traffic
deep learning
wind energy
horizontal axis wind turbine
yaw system
weather vane
computational fluid dynamics
Delayed Detached Eddy Simulation
oscillating-cup viscometer
mathematical model
nonlinear oscillations
elastic–gas-dynamic task
first-order gradient method
variational principle of lagrange
finite difference method
petal bearing
modeling
model
macroeconomics
microeconomics
sources
review
single-layer neural network model
data recovery
noise
numerical simulation
coupling coefficients
resilience
sustainable development
instability
multivariate comparisons
Mahalanobis distance
time series
trends analysis
correlation and regression analysis
cluster analysis
analysis of variance
theoretical foundations
impulse and jump characteristics
control systems with variable structure (VSS)
sliding modes (SM)
slow and fast movements
perfect glide
phase trajectories
control object
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
url ONIX_20240704_9783725811953_122