Neural network inverse model-based controller for the control of a steel pickling process
The present work investigates the use of neural network direct inverse model-based control strategy (NNDIC) to control a steel pickling process. The process is challenging due to the fact that the pH of effluent streams must be regulated accurately to protect aquatic and human welfare, and to comply...
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Main Authors: | , , , , |
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Format: | Article |
Published: |
Elsevier
2005
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Online Access: | http://eprints.um.edu.my/7058/ https://doi.org/10.1016/j.compchemeng.2005.06.007 |
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