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Advanced Digital, Modeling and Control Applies into Various Processes
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This Special Issue reviews advanced digital technologies in modelling and control of technological processes. The methods of numerical modelling, artificial intelligence, machine learning, automatic control, and optimization theory are considered in the published manuscripts of this Special Issue.
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Keywords
- adaptive PID
- ANSYS Fluent
- artificial intelligence
- Autonomous Vehicle
- axisymmetric parts
- big data
- boiling point
- calibration
- carbon footprint
- Cassie to Wenzel transition
- CFD
- composition model
- Computer vision
- control of geometric parameters
- Control systems
- correlation
- correlation coefficient
- critical velocity
- cross-scale
- DEM
- DEM parameters
- Digital signal processing
- discrete element method
- drilling problems
- droplet impact
- error compensation
- experiment
- Flexible AC transmission systems
- fractional composition
- Friction
- friction coefficients
- gas chromatography
- gas cleaning
- gradient boosting
- image encryption
- Information Security
- Internet of Things
- Machine learning
- Mathematical model
- mathematical modeling
- method of pseudo-components
- method with spatial resolution
- multiple-parameter fractional Fourier transform
- n/a
- Nanoparticles
- naphtha
- optical control
- ore
- ore-thermal furnace (OTF)
- path tracking
- photovoltaic panel
- projection method
- random variable distribution
- reinforcement learning
- risk factor evaluation
- rolled steel
- rolling mill
- rolling mill roll wear
- self-optimizing controller
- silicon production
- simulated distillation
- skewness
- Smart Grids
- solar power
- solar systems
- Statistics
- steel defect detection
- superhydrophobic surface
- Symmetry
- synthetic data
- universal approach
- vehicle control
- virtual soft sensor
- weighted fractional Fourier transform
Links
DOI: 10.3390/books978-3-7258-1425-1Editions