this paper gives an investigation into the multivariable intelligent controller using the neural network which includes the model of the Plant
the multivariable control systems
and the model-free intelligent control algorithm.The simulation results show that such a novel controller is effective to control the complex chemical prncesses.Having good performances
strong robustness to the changes of the process model and simple structure
it can be conveniently used in practical engineering.
Controlled synthesis of Bi2MoO6/MoO3 composite fibers via in-situ hydrothermal method and their high-efficiency photocatalytic hydrogen production performance
Research on the characterization of the molecular weight and its distribution of perfluoropolyether
New universal corresponding state equation for correlation and extrapolation of saturated vapor-liquid density
Study on dissolution kinetics of erythromycin thiocyanate
Physics-informed spatio-temporal graph convolutional network for fermentation processes