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...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Wiley
2007
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/7048/ https://doi.org/10.1002/apj.98 |
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