Predictive control of a multi-component distillation column based on neural networks

被引:0
|
作者
Brizuela, E [1 ]
Uria, M [1 ]
Lamanna, R [1 ]
机构
[1] UNIV SIMON BOLIVAR,DEPT PROC & SISTEMAS,CARACAS 1086A,VENEZUELA
关键词
D O I
10.1109/NICRSP.1996.542769
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
引用
下载
收藏
页码:270 / 278
页数:9
相关论文
共 50 条
  • [21] Feasible Design of Multi-component Heterogeneous Reactive Distillation
    Kang, D.
    Lee, Jae W.
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON FOUNDATIONS OF COMPUTER-AIDED PROCESS DESIGN, 2014, 34 : 351 - 356
  • [22] The interpretation of minimum reflux conditions in multi-component distillation
    Franklin, NL
    Forsyth, JS
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 1997, 75 : S56 - S81
  • [23] Interpretation of minimum reflux conditions in multi-component distillation
    Franklin, N.L.
    Forsyth, J.S.
    1997, IChemE, Rugby, United Kingdom (75):
  • [24] Economic Model Predictive Control of Distillation Column
    Faisal, Abdelraheenn
    Kamaruddin, B.
    Ramasamy, M.
    Zabiri, H.
    Mahadzir, Shuhaimi
    ADVANCED SCIENCE LETTERS, 2016, 22 (10) : 2671 - 2675
  • [25] The automatic control system of a multi-component nonequilibrium extraction process in the pulse column
    Goryunov, A. G.
    Mikhaylov, V. S.
    JOURNAL OF PROCESS CONTROL, 2012, 22 (06) : 1034 - 1043
  • [26] Event-based neural network predictive controller application for a distillation column
    Hadian, Mohsen
    Mehrshadian, Milad
    Karami, Mahboobeh
    Biglary Makvand, Amin
    ASIAN JOURNAL OF CONTROL, 2021, 23 (02) : 811 - 823
  • [27] The investigation of social networks based on multi-component random graphs
    Zadorozhnyi, V. N.
    Yudin, E. B.
    XI INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE - APPLIED MECHANICS AND DYNAMICS SYSTEMS, 2018, 944
  • [28] Temperature Prediction and Model Predictive Control (MPC) of a Distillation Column Using an Artificial Neural Network Based Model
    Dang Xuan Hieu
    Dinh Thi Lan Anh
    Nguyen Doan Phuoc
    Dinh Van Thanh
    Do Duc Cuong
    2017 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE), 2017, : 113 - 118
  • [29] A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks
    Yang, Zhe
    Baraldi, Piero
    Zio, Enrico
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 220
  • [30] Prediction of Rheological Properties of Multi-Component Dispersions by Using Artificial Neural Networks
    Samavati, Vahid
    Emam-Djomeh, Zahra
    Omid, Mahmoud
    JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY, 2014, 35 (03) : 428 - 434