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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Format: | Article |
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Elsevier
2005
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