SYSTEMATIC DERIVATIONS OF MODEL PREDICTIVE CONTROL BASED ON ARTIFICIAL NEURAL NETWORK
Author:
Affiliation:
1. a Department of Chemical Engineering , Chung- Yuan Christian University , Chung-Li, Taiwan, 320, Republic of China
Publisher
Informa UK Limited
Subject
General Chemical Engineering,General Chemistry
Link
https://www.tandfonline.com/doi/pdf/10.1080/00986449808912357
Reference16 articles.
1. Use of neural nets for dynamic modeling and control of chemical process systems
2. WaveARX Neural Network Development for System Identification Using a Systematic Design Synthesis
3. Study of the control-relevant properties of backpropagation neural network models of nonlinear dynamical systems
4. Neural networks for control systems—A survey
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