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: |
Computers & Chemical Engineering
2005
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| Subjects: | |
| Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-25844455968&partnerID=40&md5=03cb9e4fe0c51cb552472becf744f309 http://www.scopus.com/inward/record.url?eid=2-s2.0-25844455968&partnerID=40&md5=03cb9e4fe0c51cb552472becf744f309 |
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