Advanced Digital, Modeling and Control Applies into Various Processes

© 2024 by the authors; CC BY-NC-ND license

digital signal processing; control systems; smart grids; Internet of things; flexible ac transmission systems; big data; rolling mill; rolled steel; rolling mill roll wear; mathematical model; correlation coefficient; DEM; discrete element method; calibration; ore; universal approach; experiment; friction; friction coefficients; DEM parameters; computer vision; synthetic data; steel defect detection; machine learning; axisymmetric parts; optical control; control of geometric parameters; method with spatial resolution; projection method; error compensation; virtual soft sensor; naphtha; composition model; method of pseudo-components; fractional composition; simulated distillation; boiling point; gas chromatography; solar power; solar systems; photovoltaic panel; mathematical modeling; statistics; correlation; skewness; symmetry; random variable distribution; machine learning; drilling problems; artificial intelligence; risk factor evaluation; gradient boosting; multiple-parameter fractional Fourier transform; image encryption; weighted fractional Fourier transform; information security; autonomous vehicle; path tracking; reinforcement learning; adaptive PID; self-optimizing controller; vehicle control; silicon production; nanoparticles; ore-thermal furnace (OTF); gas cleaning; symmetry; carbon footprint; CFD; ANSYS fluent; droplet impact; superhydrophobic surface; critical velocity; Cassie to Wenzel transition; cross-scale; n/a