Dual-mode control with neural network based inverse model for a steel pickling process
This article describes a novel implementation of the dual-mode (DM) control utilizing a neural network inverse model on a multivariable process (a steel pickling process). This process is highly nonlinear with variable-interaction, and is multivariable in nature, hence an accurately nonlinear model...
| Main Authors: | , , |
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| Format: | Article |
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Asia-Pacific Journal of Chemical Engineering
2007
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| Subjects: | |
| Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-37749006458&partnerID=40&md5=b94091bf50e3a17fa2132082d30204e8 http://www.scopus.com/inward/record.url?eid=2-s2.0-37749006458&partnerID=40&md5=b94091bf50e3a17fa2132082d30204e8 |