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Multivariable nonlinear control applications for a high purity distillation column using a recurrent dynamic neuron model

  • Published:1997-08 Issue:4 Volume:7 Page:255-268
  • ISSN:0959-1524
  • Container-title:Journal of Process Control
  • language:en
  • Short-container-title:Journal of Process Control

Author:

Shaw Andre M.,Doyle Francis J.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference41 articles.

1. Artificial neural networks in process control;Willis,1991

2. Multivariate statistical methods in process analysis and control;MacGregor,1991

3. Predictive control of distillation columns using dynamic neural networks;Montague,1991

4. Dynamic neural units and function approximation;Rao,1993

5. Memory neuron networks for identification and control of dynamical systems;Sastry,1993

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1. Real-Time Implementation of Model Predictive Control Based on Sine Cosine Algorithm for a Water Level of the Three-Tank Proces;2023 IEEE International Workshop on Mechatronic Systems Supervision (IW_MSS);2023-11-02

2. Linear hybrid models of distillation towers;Computers & Chemical Engineering;2023-03

3. Optimization-Based Control Strategy with Wavelet Network Input–Output Linearizing Constraint for an Ill-Conditioned High-Purity Distillation Column;Industrial & Engineering Chemistry Research;2017-07-25

4. System Identification and IMC-Based PID Control of a Reactive Distillation Process: A Case Study of n-Butyl Acetate Production;International Journal of Engineering Research in Africa;2017-07

5. Adaptive Fuzzy Controller Based on Cuckoo Optimization Algorithm for a Distillation Column;2016 International Conference on Computational Intelligence and Applications (ICCIA);2016-08
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