Big Data Approximating Control (BDAC)—A new model-free estimation and control paradigm based on pattern matching and approximation

2018 ◽  
Vol 67 ◽  
pp. 141-159 ◽  
Author(s):  
G.M. Stanley
2020 ◽  
Vol 14 (11) ◽  
pp. 1508-1515
Author(s):  
Jasim Khawwaf ◽  
Jinchuan Zheng ◽  
Hai Wang ◽  
Zhihong Man

2018 ◽  
Vol 69 (10) ◽  
pp. 2633-2637
Author(s):  
Raluca Dragomir ◽  
Paul Rosca ◽  
Cristina Popa

The main objectives of the present paper are to adaptation the five-kinetic model of the catalytic cracking process and simulation the riser to predicts the FCC products yields when one of the major input variable of the process is change. The simulation and adaptation are based on the industrial data from Romanian refinery. The adaptation is realize using a computational method from Optimization Toolbox from Matlab programming language. The new model can be used for optimization and control of FCC riser.


2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  

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