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Mathematical Modeling of Engineering and Socio-Economic Processes and Systems

Mathematical Modeling of Engineering and Socio-Economic Processes and Systems

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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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Keywords

  • analysis of variance
  • Cluster analysis
  • coal–water suspensions (CWS)
  • combustion process
  • computational fluid dynamics
  • control object
  • control systems with variable structure (VSS)
  • convolutional neural network (CNN)
  • correlation and regression analysis
  • coupling coefficients
  • data recovery
  • deep learning
  • Delayed Detached Eddy Simulation
  • elastic–gas-dynamic task
  • finite difference method
  • first-order gradient method
  • highly viscous boundary layer
  • horizontal axis wind turbine
  • hydrodynamic pressures
  • impulse and jump characteristics
  • instability
  • journal bearing
  • lane occupancy
  • Macroeconomics
  • Mahalanobis distance
  • Markov process
  • Mathematical model
  • mathematical modeling
  • Microeconomics
  • Model
  • modeling
  • multi-grid algorithm
  • multivariate comparisons
  • neural network technologies
  • Noise
  • non-newtonian fluids
  • nonlinear oscillations
  • Numerical Simulation
  • oscillating-cup viscometer
  • perfect glide
  • petal bearing
  • phase trajectories
  • recurrent neural networks (RNN)
  • resilience
  • review
  • signal-controlled intersections
  • single-layer neural network model
  • sliding modes (SM)
  • slow and fast movements
  • Sources
  • studies
  • surface asperities interaction
  • Sustainable development
  • 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
  • theoretical foundations
  • time series
  • Traffic
  • traffic flow rate
  • traffic signalization
  • Transportation
  • trends analysis
  • tribological parameters
  • variational principle of lagrange
  • vehicle-related emissions
  • weather vane
  • Wind energy
  • yaw system

Links

DOI: 10.3390/books978-3-7258-1196-0

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